Se cargan las librerías a utilizar para el presente análisis

library(tidyverse)
library(lavaan)

1 Importación de datos y tratamiento de datos

1.3 Descriptivos

Estadísticos descriptivos para la parte “a” de los ítems (perpetrador)

Estadísticos descriptivos para la parte “b” de los ítems (violencia sufrida)

2 Análisis Factoriales Confirmatorios

La escala CADRI tiene 5 factores y se corresponden con los items de la siguiente manera:

Nota: Todos los modelos tienen 2 análisis fit_a y fit_b que se diferencian únicamente por el estimador utilizado para su evaluación. El fit_a utiliza el estimador MLR que es ideal para data contínua y problemas de normalidad, mientras que el fit_b utiliza el estimador WLSMVque es el mejor estimador en consideración de la ordinalidad de los datos.

2.1 Modelo 01

El primer modelo probará todos los ítems tal cual se encuentran descritos en el instrumento original.

2.1.1 Estimador MLR

lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 212 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         85
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                               1586.734    1328.504
  Degrees of freedom                                545         545
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.194
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              4556.896    3264.743
  Degrees of freedom                               595         595
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.396

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.737       0.707
  Tucker-Lewis Index (TLI)                       0.713       0.680
                                                                  
  Robust Comparative Fit Index (CFI)                         0.749
  Robust Tucker-Lewis Index (TLI)                            0.726

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -7788.654   -7788.654
  Scaling correction factor                                  6.652
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -6995.286   -6995.286
  Scaling correction factor                                  1.931
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                               15747.307   15747.307
  Bayesian (BIC)                             16069.194   16069.194
  Sample-size adjusted Bayesian (BIC)        15799.579   15799.579

Root Mean Square Error of Approximation:

  RMSEA                                          0.077       0.066
  90 Percent confidence interval - lower         0.072       0.062
  90 Percent confidence interval - upper         0.081       0.071
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                               0.073
  90 Percent confidence interval - lower                     0.068
  90 Percent confidence interval - upper                     0.078

Standardized Root Mean Square Residual:

  SRMR                                           0.083       0.083

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.370    0.451
    Cadri7a           1.503    0.250    6.000    0.000    0.556    0.720
    Cadri9a           1.141    0.174    6.550    0.000    0.422    0.549
    Cadri12a          1.230    0.257    4.784    0.000    0.455    0.646
    Cadri17a          1.075    0.214    5.025    0.000    0.398    0.696
    Cadri21a          0.627    0.188    3.334    0.001    0.232    0.477
    Cadri23a          0.377    0.097    3.870    0.000    0.139    0.330
    Cadri24a          0.938    0.200    4.694    0.000    0.347    0.603
    Cadri28a          1.352    0.230    5.885    0.000    0.500    0.633
    Cadri32a          1.252    0.235    5.320    0.000    0.463    0.667
  V_fisica =~                                                           
    Cadri8a           1.000                               0.268    0.720
    Cadri25a          0.780    0.245    3.178    0.001    0.209    0.586
    Cadri30a          1.103    0.241    4.567    0.000    0.296    0.694
    Cadri34a          0.847    0.207    4.085    0.000    0.227    0.624
  C_amenaz =~                                                           
    Cadri5a           1.000                               0.061    0.224
    Cadri29a          1.697    1.425    1.191    0.234    0.103    0.268
    Cadri31a          1.412    0.887    1.592    0.111    0.086    0.390
    Cadri33a          2.609    1.601    1.629    0.103    0.159    0.592
  V_relaci =~                                                           
    Cadri3a           1.000                               0.116    0.295
    Cadri20a          1.690    1.082    1.562    0.118    0.195    0.575
    Cadri35a          1.772    1.343    1.319    0.187    0.205    0.523
  V_sexual =~                                                           
    Cadri2a           1.000                               0.166    0.368
    Cadri13a          0.490    0.593    0.826    0.409    0.081    0.469
    Cadri15a          0.530    0.564    0.938    0.348    0.088    0.652
    Cadri19a          1.779    0.991    1.795    0.073    0.296    0.381
  R_confli =~                                                           
    Cadri1a           1.000                               0.663    0.633
    Cadri6a           0.887    0.074   12.048    0.000    0.588    0.644
    Cadri10a          0.968    0.089   10.903    0.000    0.642    0.669
    Cadri11a          0.909    0.075   12.047    0.000    0.603    0.664
    Cadri14a          1.171    0.098   11.906    0.000    0.777    0.759
    Cadri16a          1.094    0.101   10.824    0.000    0.726    0.720
    Cadri18a          1.152    0.102   11.343    0.000    0.764    0.735
    Cadri22a          1.014    0.107    9.472    0.000    0.672    0.639
    Cadri26a          1.032    0.100   10.327    0.000    0.684    0.689
    Cadri27a          0.732    0.090    8.138    0.000    0.486    0.512

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.061    0.021    2.925    0.003    0.617    0.617
    C_amenaz          0.016    0.008    1.952    0.051    0.709    0.709
    V_relaci          0.033    0.022    1.498    0.134    0.774    0.774
    V_sexual          0.025    0.025    0.984    0.325    0.406    0.406
    R_confli          0.098    0.023    4.188    0.000    0.401    0.401
  V_fisica ~~                                                           
    C_amenaz          0.017    0.008    2.058    0.040    1.014    1.014
    V_relaci          0.009    0.011    0.801    0.423    0.287    0.287
    V_sexual          0.022    0.024    0.938    0.348    0.498    0.498
    R_confli          0.026    0.010    2.483    0.013    0.144    0.144
  C_amenaz ~~                                                           
    V_relaci          0.005    0.006    0.815    0.415    0.712    0.712
    V_sexual          0.003    0.006    0.473    0.636    0.289    0.289
    R_confli          0.007    0.007    1.056    0.291    0.171    0.171
  V_relaci ~~                                                           
    V_sexual          0.003    0.009    0.386    0.700    0.176    0.176
    R_confli          0.015    0.011    1.404    0.160    0.195    0.195
  V_sexual ~~                                                           
    R_confli          0.023    0.030    0.745    0.456    0.205    0.205

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.537    0.057    9.407    0.000    0.537    0.797
   .Cadri7a           0.287    0.032    8.857    0.000    0.287    0.481
   .Cadri9a           0.413    0.048    8.535    0.000    0.413    0.699
   .Cadri12a          0.288    0.042    6.809    0.000    0.288    0.582
   .Cadri17a          0.168    0.023    7.336    0.000    0.168    0.516
   .Cadri21a          0.183    0.034    5.367    0.000    0.183    0.773
   .Cadri23a          0.159    0.041    3.907    0.000    0.159    0.891
   .Cadri24a          0.210    0.023    9.108    0.000    0.210    0.636
   .Cadri28a          0.373    0.042    8.906    0.000    0.373    0.599
   .Cadri32a          0.267    0.038    7.105    0.000    0.267    0.555
   .Cadri8a           0.067    0.015    4.582    0.000    0.067    0.481
   .Cadri25a          0.084    0.021    3.904    0.000    0.084    0.657
   .Cadri30a          0.094    0.033    2.877    0.004    0.094    0.519
   .Cadri34a          0.081    0.024    3.350    0.001    0.081    0.611
   .Cadri5a           0.070    0.031    2.300    0.021    0.070    0.950
   .Cadri29a          0.138    0.027    5.131    0.000    0.138    0.928
   .Cadri31a          0.041    0.025    1.617    0.106    0.041    0.848
   .Cadri33a          0.047    0.025    1.855    0.064    0.047    0.649
   .Cadri3a           0.140    0.045    3.087    0.002    0.140    0.913
   .Cadri20a          0.077    0.031    2.462    0.014    0.077    0.669
   .Cadri35a          0.111    0.031    3.569    0.000    0.111    0.726
   .Cadri2a           0.176    0.056    3.118    0.002    0.176    0.864
   .Cadri13a          0.023    0.010    2.337    0.019    0.023    0.780
   .Cadri15a          0.011    0.011    0.991    0.322    0.011    0.576
   .Cadri19a          0.513    0.154    3.326    0.001    0.513    0.855
   .Cadri1a           0.657    0.058   11.270    0.000    0.657    0.599
   .Cadri6a           0.489    0.048   10.089    0.000    0.489    0.586
   .Cadri10a          0.509    0.051    9.926    0.000    0.509    0.553
   .Cadri11a          0.461    0.048    9.579    0.000    0.461    0.559
   .Cadri14a          0.444    0.050    8.848    0.000    0.444    0.424
   .Cadri16a          0.489    0.055    8.859    0.000    0.489    0.482
   .Cadri18a          0.497    0.053    9.427    0.000    0.497    0.460
   .Cadri22a          0.654    0.067    9.756    0.000    0.654    0.591
   .Cadri26a          0.517    0.056    9.202    0.000    0.517    0.525
   .Cadri27a          0.663    0.053   12.462    0.000    0.663    0.738
    V_verbal          0.137    0.041    3.346    0.001    1.000    1.000
    V_fisica          0.072    0.032    2.231    0.026    1.000    1.000
    C_amenaz          0.004    0.004    0.964    0.335    1.000    1.000
    V_relaci          0.013    0.016    0.847    0.397    1.000    1.000
    V_sexual          0.028    0.026    1.068    0.285    1.000    1.000
    R_confli          0.440    0.065    6.791    0.000    1.000    1.000

2.1.2 Estimador WLSMV

Warning message:
In readChar(file, size, TRUE) : truncating string with embedded nuls
lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -4.850446e-17) is smaller than zero. This may be a symptom that
    the model is not identified.lavaan WARNING: some estimated ov variances are negativelavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 61 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                        151
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                              1256.588     938.927
  Degrees of freedom                               545         545
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  2.187
  Shift parameter                                          364.337
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                             19668.362    6040.324
  Degrees of freedom                               595         595
  P-value                                        0.000       0.000
  Scaling correction factor                                  3.503

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.963       0.928
  Tucker-Lewis Index (TLI)                       0.959       0.921
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.063       0.047
  90 Percent confidence interval - lower         0.059       0.042
  90 Percent confidence interval - upper         0.068       0.052
  P-value RMSEA <= 0.05                          0.000       0.819
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.190       0.190

Weighted Root Mean Square Residual:

  WRMR                                           1.344       1.344

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.602    0.602
    Cadri7a           1.288    0.105   12.273    0.000    0.776    0.776
    Cadri9a           1.123    0.101   11.078    0.000    0.676    0.676
    Cadri12a          1.187    0.111   10.669    0.000    0.715    0.715
    Cadri17a          1.309    0.116   11.327    0.000    0.788    0.788
    Cadri21a          1.006    0.123    8.149    0.000    0.606    0.606
    Cadri23a          0.870    0.122    7.147    0.000    0.524    0.524
    Cadri24a          1.171    0.095   12.350    0.000    0.705    0.705
    Cadri28a          1.229    0.107   11.471    0.000    0.740    0.740
    Cadri32a          1.128    0.098   11.458    0.000    0.680    0.680
  V_fisica =~                                                           
    Cadri8a           1.000                               0.839    0.839
    Cadri25a          0.981    0.082   12.005    0.000    0.823    0.823
    Cadri30a          1.014    0.088   11.535    0.000    0.851    0.851
    Cadri34a          0.972    0.081   12.044    0.000    0.816    0.816
  C_amenaz =~                                                           
    Cadri5a           1.000                               0.546    0.546
    Cadri29a          1.120    0.174    6.445    0.000    0.611    0.611
    Cadri31a          1.256    0.238    5.281    0.000    0.686    0.686
    Cadri33a          1.589    0.241    6.584    0.000    0.868    0.868
  V_relaci =~                                                           
    Cadri3a           1.000                               0.610    0.610
    Cadri20a          1.323    0.225    5.888    0.000    0.807    0.807
    Cadri35a          1.135    0.186    6.093    0.000    0.693    0.693
  V_sexual =~                                                           
    Cadri2a           1.000                               0.629    0.629
    Cadri13a          0.753    0.154    4.897    0.000    0.474    0.474
    Cadri15a          1.872    0.339    5.524    0.000    1.178    1.178
    Cadri19a          1.201    0.226    5.309    0.000    0.756    0.756
  R_confli =~                                                           
    Cadri1a           1.000                               0.704    0.704
    Cadri6a           1.043    0.056   18.680    0.000    0.734    0.734
    Cadri10a          1.073    0.061   17.616    0.000    0.755    0.755
    Cadri11a          1.021    0.059   17.300    0.000    0.719    0.719
    Cadri14a          1.135    0.062   18.348    0.000    0.799    0.799
    Cadri16a          1.166    0.058   20.261    0.000    0.821    0.821
    Cadri18a          1.086    0.063   17.342    0.000    0.765    0.765
    Cadri22a          1.068    0.064   16.764    0.000    0.752    0.752
    Cadri26a          1.105    0.055   19.926    0.000    0.778    0.778
    Cadri27a          0.839    0.063   13.378    0.000    0.591    0.591

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.375    0.045    8.322    0.000    0.741    0.741
    C_amenaz          0.300    0.054    5.515    0.000    0.913    0.913
    V_relaci          0.316    0.058    5.447    0.000    0.860    0.860
    V_sexual          0.158    0.036    4.391    0.000    0.416    0.416
    R_confli          0.220    0.030    7.420    0.000    0.518    0.518
  V_fisica ~~                                                           
    C_amenaz          0.464    0.073    6.351    0.000    1.011    1.011
    V_relaci          0.253    0.075    3.371    0.001    0.493    0.493
    V_sexual          0.268    0.052    5.169    0.000    0.508    0.508
    R_confli          0.152    0.041    3.728    0.000    0.257    0.257
  C_amenaz ~~                                                           
    V_relaci          0.269    0.061    4.430    0.000    0.808    0.808
    V_sexual          0.265    0.056    4.707    0.000    0.772    0.772
    R_confli          0.155    0.039    3.960    0.000    0.403    0.403
  V_relaci ~~                                                           
    V_sexual          0.242    0.062    3.937    0.000    0.631    0.631
    R_confli          0.132    0.042    3.119    0.002    0.307    0.307
  V_sexual ~~                                                           
    R_confli          0.150    0.046    3.242    0.001    0.339    0.339

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.000                               0.000    0.000
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri23a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri5a           0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri3a           0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri13a          0.000                               0.000    0.000
   .Cadri15a          0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
   .Cadri1a           0.000                               0.000    0.000
   .Cadri6a           0.000                               0.000    0.000
   .Cadri10a          0.000                               0.000    0.000
   .Cadri11a          0.000                               0.000    0.000
   .Cadri14a          0.000                               0.000    0.000
   .Cadri16a          0.000                               0.000    0.000
   .Cadri18a          0.000                               0.000    0.000
   .Cadri22a          0.000                               0.000    0.000
   .Cadri26a          0.000                               0.000    0.000
   .Cadri27a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fisica          0.000                               0.000    0.000
    C_amenaz          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000
    R_confli          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a|t1       -0.069    0.070   -0.994    0.320   -0.069   -0.069
    Cadri4a|t2        1.035    0.085   12.173    0.000    1.035    1.035
    Cadri4a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri23a|t1       1.224    0.092   13.258    0.000    1.224    1.224
    Cadri23a|t2       2.088    0.166   12.614    0.000    2.088    2.088
    Cadri23a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri5a|t1        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri5a|t2        2.504    0.250   10.011    0.000    2.504    2.504
    Cadri5a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri3a|t1        1.472    0.105   13.974    0.000    1.472    1.472
    Cadri3a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri3a|t3        2.357    0.214   11.014    0.000    2.357    2.357
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri13a|t1       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri13a|t2       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri15a|t1       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri15a|t2       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789
    Cadri1a|t1       -0.729    0.077   -9.489    0.000   -0.729   -0.729
    Cadri1a|t2        0.321    0.071    4.520    0.000    0.321    0.321
    Cadri1a|t3        0.833    0.079   10.522    0.000    0.833    0.833
    Cadri6a|t1       -0.632    0.075   -8.431    0.000   -0.632   -0.632
    Cadri6a|t2        0.514    0.073    7.032    0.000    0.514    0.514
    Cadri6a|t3        1.310    0.096   13.596    0.000    1.310    1.310
    Cadri10a|t1      -0.889    0.081  -11.024    0.000   -0.889   -0.889
    Cadri10a|t2       0.313    0.071    4.410    0.000    0.313    0.313
    Cadri10a|t3       0.996    0.084   11.895    0.000    0.996    0.996
    Cadri11a|t1      -0.935    0.082  -11.418    0.000   -0.935   -0.935
    Cadri11a|t2       0.403    0.072    5.616    0.000    0.403    0.403
    Cadri11a|t3       1.117    0.088   12.701    0.000    1.117    1.117
    Cadri14a|t1      -0.935    0.082  -11.418    0.000   -0.935   -0.935
    Cadri14a|t2       0.108    0.070    1.546    0.122    0.108    0.108
    Cadri14a|t3       0.759    0.077    9.802    0.000    0.759    0.759
    Cadri16a|t1      -0.549    0.074   -7.465    0.000   -0.549   -0.549
    Cadri16a|t2       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri16a|t3       1.062    0.086   12.353    0.000    1.062    1.062
    Cadri18a|t1      -1.035    0.085  -12.173    0.000   -1.035   -1.035
    Cadri18a|t2      -0.062    0.070   -0.883    0.377   -0.062   -0.062
    Cadri18a|t3       0.595    0.074    8.003    0.000    0.595    0.595
    Cadri22a|t1      -0.749    0.077   -9.698    0.000   -0.749   -0.749
    Cadri22a|t2       0.178    0.070    2.539    0.011    0.178    0.178
    Cadri22a|t3       0.822    0.079   10.420    0.000    0.822    0.822
    Cadri26a|t1      -0.699    0.076   -9.174    0.000   -0.699   -0.699
    Cadri26a|t2       0.420    0.072    5.834    0.000    0.420    0.420
    Cadri26a|t3       1.009    0.084   11.989    0.000    1.009    1.009
    Cadri27a|t1      -0.241    0.070   -3.420    0.001   -0.241   -0.241
    Cadri27a|t2       0.699    0.076    9.174    0.000    0.699    0.699
    Cadri27a|t3       1.367    0.099   13.767    0.000    1.367    1.367

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.637                               0.637    0.637
   .Cadri7a           0.398                               0.398    0.398
   .Cadri9a           0.543                               0.543    0.543
   .Cadri12a          0.489                               0.489    0.489
   .Cadri17a          0.379                               0.379    0.379
   .Cadri21a          0.633                               0.633    0.633
   .Cadri23a          0.726                               0.726    0.726
   .Cadri24a          0.503                               0.503    0.503
   .Cadri28a          0.452                               0.452    0.452
   .Cadri32a          0.538                               0.538    0.538
   .Cadri8a           0.295                               0.295    0.295
   .Cadri25a          0.322                               0.322    0.322
   .Cadri30a          0.275                               0.275    0.275
   .Cadri34a          0.334                               0.334    0.334
   .Cadri5a           0.702                               0.702    0.702
   .Cadri29a          0.626                               0.626    0.626
   .Cadri31a          0.529                               0.529    0.529
   .Cadri33a          0.247                               0.247    0.247
   .Cadri3a           0.627                               0.627    0.627
   .Cadri20a          0.348                               0.348    0.348
   .Cadri35a          0.520                               0.520    0.520
   .Cadri2a           0.604                               0.604    0.604
   .Cadri13a          0.775                               0.775    0.775
   .Cadri15a         -0.388                              -0.388   -0.388
   .Cadri19a          0.429                               0.429    0.429
   .Cadri1a           0.504                               0.504    0.504
   .Cadri6a           0.461                               0.461    0.461
   .Cadri10a          0.429                               0.429    0.429
   .Cadri11a          0.483                               0.483    0.483
   .Cadri14a          0.362                               0.362    0.362
   .Cadri16a          0.326                               0.326    0.326
   .Cadri18a          0.415                               0.415    0.415
   .Cadri22a          0.434                               0.434    0.434
   .Cadri26a          0.394                               0.394    0.394
   .Cadri27a          0.651                               0.651    0.651
    V_verbal          0.363    0.057    6.336    0.000    1.000    1.000
    V_fisica          0.705    0.078    9.050    0.000    1.000    1.000
    C_amenaz          0.298    0.083    3.576    0.000    1.000    1.000
    V_relaci          0.373    0.101    3.679    0.000    1.000    1.000
    V_sexual          0.396    0.116    3.404    0.001    1.000    1.000
    R_confli          0.496    0.048   10.287    0.000    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a           1.000                               1.000    1.000
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri23a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri5a           1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri3a           1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri13a          1.000                               1.000    1.000
    Cadri15a          1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000
    Cadri1a           1.000                               1.000    1.000
    Cadri6a           1.000                               1.000    1.000
    Cadri10a          1.000                               1.000    1.000
    Cadri11a          1.000                               1.000    1.000
    Cadri14a          1.000                               1.000    1.000
    Cadri16a          1.000                               1.000    1.000
    Cadri18a          1.000                               1.000    1.000
    Cadri22a          1.000                               1.000    1.000
    Cadri26a          1.000                               1.000    1.000
    Cadri27a          1.000                               1.000    1.000

2.1.3 Índices de Modificación (fit_b)

lavaan WARNING: starting values imply a correlation larger than 1;
                   variables involved are:  V_fisica   C_amenaz 

2.2 Modelo 02

A partir del análisis descriptivo y la observación del modelo 01, se hacen los siguientes cambios:

  • Sin item 15, 13 (V Sexual)
  • Sin item 05 (Conducta amenzante)

2.2.1 Estimador MLR

lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 262 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         79
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                               1349.081    1060.264
  Degrees of freedom                                449         449
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.272
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              4244.153    2989.537
  Degrees of freedom                               496         496
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.420

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.760       0.755
  Tucker-Lewis Index (TLI)                       0.735       0.729
                                                                  
  Robust Comparative Fit Index (CFI)                         0.780
  Robust Tucker-Lewis Index (TLI)                            0.757

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8086.670   -8086.670
  Scaling correction factor                                  4.767
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -7412.129   -7412.129
  Scaling correction factor                                  1.795
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                               16331.340   16331.340
  Bayesian (BIC)                             16630.505   16630.505
  Sample-size adjusted Bayesian (BIC)        16379.922   16379.922

Root Mean Square Error of Approximation:

  RMSEA                                          0.078       0.065
  90 Percent confidence interval - lower         0.074       0.060
  90 Percent confidence interval - upper         0.083       0.069
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                               0.073
  90 Percent confidence interval - lower                     0.067
  90 Percent confidence interval - upper                     0.079

Standardized Root Mean Square Residual:

  SRMR                                           0.082       0.082

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.371    0.452
    Cadri7a           1.503    0.250    6.012    0.000    0.558    0.723
    Cadri9a           1.137    0.174    6.517    0.000    0.422    0.549
    Cadri12a          1.229    0.257    4.775    0.000    0.456    0.648
    Cadri17a          1.067    0.213    5.008    0.000    0.396    0.693
    Cadri21a          0.621    0.188    3.292    0.001    0.230    0.474
    Cadri23a          0.371    0.094    3.959    0.000    0.138    0.327
    Cadri24a          0.932    0.196    4.751    0.000    0.346    0.601
    Cadri28a          1.346    0.228    5.913    0.000    0.500    0.633
    Cadri32a          1.251    0.233    5.360    0.000    0.464    0.669
  V_fisica =~                                                           
    Cadri8a           1.000                               0.261    0.700
    Cadri25a          0.764    0.236    3.234    0.001    0.199    0.558
    Cadri30a          1.194    0.278    4.291    0.000    0.311    0.730
    Cadri34a          0.881    0.218    4.045    0.000    0.230    0.631
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.112    0.291
    Cadri31a          0.766    0.731    1.047    0.295    0.086    0.390
    Cadri33a          1.325    1.173    1.130    0.259    0.149    0.555
  V_relaci =~                                                           
    Cadri3a           1.000                               0.127    0.323
    Cadri20a          1.489    1.020    1.461    0.144    0.188    0.554
    Cadri35a          1.601    1.273    1.258    0.209    0.203    0.517
  V_sexual =~                                                           
    Cadri2a           1.000                               0.211    0.467
    Cadri19a          2.021    1.535    1.317    0.188    0.426    0.549
  R_confli =~                                                           
    Cadri1a           1.000                               0.663    0.633
    Cadri6a           0.888    0.074   12.055    0.000    0.589    0.644
    Cadri10a          0.965    0.089   10.888    0.000    0.640    0.667
    Cadri11a          0.909    0.075   12.051    0.000    0.603    0.664
    Cadri14a          1.171    0.098   11.899    0.000    0.776    0.758
    Cadri16a          1.097    0.101   10.816    0.000    0.727    0.722
    Cadri18a          1.153    0.101   11.358    0.000    0.764    0.735
    Cadri22a          1.012    0.107    9.435    0.000    0.671    0.637
    Cadri26a          1.033    0.100   10.343    0.000    0.685    0.690
    Cadri27a          0.735    0.090    8.142    0.000    0.487    0.514

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.059    0.021    2.829    0.005    0.611    0.611
    C_amenaz          0.030    0.021    1.416    0.157    0.724    0.724
    V_relaci          0.037    0.024    1.509    0.131    0.784    0.784
    V_sexual          0.035    0.017    2.058    0.040    0.441    0.441
    R_confli          0.099    0.024    4.188    0.000    0.401    0.401
  V_fisica ~~                                                           
    C_amenaz          0.031    0.018    1.733    0.083    1.052    1.052
    V_relaci          0.010    0.013    0.792    0.428    0.307    0.307
    V_sexual          0.027    0.011    2.362    0.018    0.491    0.491
    R_confli          0.025    0.010    2.476    0.013    0.146    0.146
  C_amenaz ~~                                                           
    V_relaci          0.011    0.014    0.776    0.438    0.781    0.781
    V_sexual          0.013    0.016    0.791    0.429    0.538    0.538
    R_confli          0.014    0.018    0.783    0.433    0.190    0.190
  V_relaci ~~                                                           
    V_sexual          0.015    0.019    0.781    0.435    0.549    0.549
    R_confli          0.017    0.012    1.353    0.176    0.201    0.201
  V_sexual ~~                                                           
    R_confli          0.045    0.024    1.890    0.059    0.326    0.326

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.536    0.057    9.413    0.000    0.536    0.795
   .Cadri7a           0.284    0.032    8.765    0.000    0.284    0.477
   .Cadri9a           0.413    0.049    8.512    0.000    0.413    0.699
   .Cadri12a          0.287    0.042    6.793    0.000    0.287    0.580
   .Cadri17a          0.169    0.023    7.350    0.000    0.169    0.519
   .Cadri21a          0.183    0.034    5.389    0.000    0.183    0.775
   .Cadri23a          0.159    0.041    3.909    0.000    0.159    0.893
   .Cadri24a          0.211    0.023    9.083    0.000    0.211    0.638
   .Cadri28a          0.374    0.042    8.955    0.000    0.374    0.600
   .Cadri32a          0.266    0.037    7.112    0.000    0.266    0.552
   .Cadri8a           0.071    0.015    4.739    0.000    0.071    0.510
   .Cadri25a          0.088    0.020    4.290    0.000    0.088    0.689
   .Cadri30a          0.085    0.030    2.881    0.004    0.085    0.468
   .Cadri34a          0.080    0.023    3.468    0.001    0.080    0.602
   .Cadri29a          0.136    0.026    5.263    0.000    0.136    0.915
   .Cadri31a          0.041    0.024    1.683    0.092    0.041    0.848
   .Cadri33a          0.050    0.025    1.974    0.048    0.050    0.692
   .Cadri3a           0.138    0.043    3.172    0.002    0.138    0.896
   .Cadri20a          0.080    0.032    2.494    0.013    0.080    0.693
   .Cadri35a          0.112    0.031    3.636    0.000    0.112    0.733
   .Cadri2a           0.159    0.040    3.950    0.000    0.159    0.782
   .Cadri19a          0.420    0.150    2.801    0.005    0.420    0.698
   .Cadri1a           0.657    0.058   11.294    0.000    0.657    0.599
   .Cadri6a           0.488    0.048   10.080    0.000    0.488    0.585
   .Cadri10a          0.511    0.051    9.935    0.000    0.511    0.555
   .Cadri11a          0.460    0.048    9.562    0.000    0.460    0.559
   .Cadri14a          0.445    0.050    8.836    0.000    0.445    0.425
   .Cadri16a          0.487    0.055    8.854    0.000    0.487    0.479
   .Cadri18a          0.497    0.053    9.392    0.000    0.497    0.460
   .Cadri22a          0.657    0.068    9.715    0.000    0.657    0.594
   .Cadri26a          0.517    0.056    9.215    0.000    0.517    0.524
   .Cadri27a          0.662    0.053   12.476    0.000    0.662    0.736
    V_verbal          0.138    0.041    3.360    0.001    1.000    1.000
    V_fisica          0.068    0.032    2.142    0.032    1.000    1.000
    C_amenaz          0.013    0.011    1.096    0.273    1.000    1.000
    V_relaci          0.016    0.019    0.858    0.391    1.000    1.000
    V_sexual          0.044    0.037    1.207    0.228    1.000    1.000
    R_confli          0.439    0.065    6.797    0.000    1.000    1.000
lavaan WARNING: starting values imply a correlation larger than 1;
                   variables involved are:  V_fisica   C_amenaz 

2.2.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -5.562418e-17) is smaller than zero. This may be a symptom that
    the model is not identified.lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 67 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                        141
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                              1036.245     843.596
  Degrees of freedom                               449         449
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.823
  Shift parameter                                          275.200
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                             18715.935    6266.895
  Degrees of freedom                               496         496
  P-value                                        0.000       0.000
  Scaling correction factor                                  3.157

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.968       0.932
  Tucker-Lewis Index (TLI)                       0.964       0.924
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.063       0.052
  90 Percent confidence interval - lower         0.058       0.047
  90 Percent confidence interval - upper         0.069       0.057
  P-value RMSEA <= 0.05                          0.000       0.266
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.119       0.119

Weighted Root Mean Square Residual:

  WRMR                                           1.325       1.325

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.603    0.603
    Cadri7a           1.288    0.106   12.157    0.000    0.776    0.776
    Cadri9a           1.123    0.103   10.928    0.000    0.677    0.677
    Cadri12a          1.178    0.111   10.625    0.000    0.710    0.710
    Cadri17a          1.305    0.115   11.335    0.000    0.787    0.787
    Cadri21a          0.998    0.123    8.083    0.000    0.602    0.602
    Cadri23a          0.859    0.121    7.077    0.000    0.518    0.518
    Cadri24a          1.164    0.094   12.325    0.000    0.702    0.702
    Cadri28a          1.203    0.107   11.294    0.000    0.725    0.725
    Cadri32a          1.178    0.103   11.468    0.000    0.710    0.710
  V_fisica =~                                                           
    Cadri8a           1.000                               0.832    0.832
    Cadri25a          0.945    0.080   11.816    0.000    0.787    0.787
    Cadri30a          1.069    0.091   11.716    0.000    0.889    0.889
    Cadri34a          0.985    0.082   12.063    0.000    0.819    0.819
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.608    0.608
    Cadri31a          1.141    0.185    6.174    0.000    0.694    0.694
    Cadri33a          1.428    0.192    7.425    0.000    0.869    0.869
  V_relaci =~                                                           
    Cadri3a           1.000                               0.620    0.620
    Cadri20a          1.291    0.217    5.939    0.000    0.800    0.800
    Cadri35a          1.117    0.181    6.163    0.000    0.692    0.692
  V_sexual =~                                                           
    Cadri2a           1.000                               0.596    0.596
    Cadri19a          1.330    0.289    4.605    0.000    0.793    0.793
  R_confli =~                                                           
    Cadri1a           1.000                               0.702    0.702
    Cadri6a           1.045    0.056   18.606    0.000    0.733    0.733
    Cadri10a          1.075    0.061   17.532    0.000    0.754    0.754
    Cadri11a          1.027    0.059   17.295    0.000    0.721    0.721
    Cadri14a          1.141    0.062   18.269    0.000    0.800    0.800
    Cadri16a          1.170    0.058   20.166    0.000    0.821    0.821
    Cadri18a          1.092    0.063   17.295    0.000    0.766    0.766
    Cadri22a          1.072    0.064   16.684    0.000    0.752    0.752
    Cadri26a          1.108    0.056   19.879    0.000    0.778    0.778
    Cadri27a          0.841    0.063   13.294    0.000    0.590    0.590

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.371    0.045    8.266    0.000    0.740    0.740
    C_amenaz          0.328    0.043    7.694    0.000    0.895    0.895
    V_relaci          0.321    0.057    5.599    0.000    0.859    0.859
    V_sexual          0.168    0.045    3.782    0.000    0.469    0.469
    R_confli          0.219    0.029    7.424    0.000    0.518    0.518
  V_fisica ~~                                                           
    C_amenaz          0.509    0.065    7.824    0.000    1.004    1.004
    V_relaci          0.255    0.074    3.442    0.001    0.495    0.495
    V_sexual          0.267    0.063    4.238    0.000    0.538    0.538
    R_confli          0.150    0.040    3.759    0.000    0.258    0.258
  C_amenaz ~~                                                           
    V_relaci          0.303    0.058    5.229    0.000    0.804    0.804
    V_sexual          0.275    0.069    4.001    0.000    0.759    0.759
    R_confli          0.176    0.036    4.912    0.000    0.411    0.411
  V_relaci ~~                                                           
    V_sexual          0.223    0.060    3.722    0.000    0.605    0.605
    R_confli          0.134    0.042    3.159    0.002    0.307    0.307
  V_sexual ~~                                                           
    R_confli          0.146    0.043    3.418    0.001    0.350    0.350

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.000                               0.000    0.000
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri23a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri3a           0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
   .Cadri1a           0.000                               0.000    0.000
   .Cadri6a           0.000                               0.000    0.000
   .Cadri10a          0.000                               0.000    0.000
   .Cadri11a          0.000                               0.000    0.000
   .Cadri14a          0.000                               0.000    0.000
   .Cadri16a          0.000                               0.000    0.000
   .Cadri18a          0.000                               0.000    0.000
   .Cadri22a          0.000                               0.000    0.000
   .Cadri26a          0.000                               0.000    0.000
   .Cadri27a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fisica          0.000                               0.000    0.000
    C_amenaz          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000
    R_confli          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a|t1       -0.069    0.070   -0.994    0.320   -0.069   -0.069
    Cadri4a|t2        1.035    0.085   12.173    0.000    1.035    1.035
    Cadri4a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri23a|t1       1.224    0.092   13.258    0.000    1.224    1.224
    Cadri23a|t2       2.088    0.166   12.614    0.000    2.088    2.088
    Cadri23a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri3a|t1        1.472    0.105   13.974    0.000    1.472    1.472
    Cadri3a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri3a|t3        2.357    0.214   11.014    0.000    2.357    2.357
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789
    Cadri1a|t1       -0.729    0.077   -9.489    0.000   -0.729   -0.729
    Cadri1a|t2        0.321    0.071    4.520    0.000    0.321    0.321
    Cadri1a|t3        0.833    0.079   10.522    0.000    0.833    0.833
    Cadri6a|t1       -0.632    0.075   -8.431    0.000   -0.632   -0.632
    Cadri6a|t2        0.514    0.073    7.032    0.000    0.514    0.514
    Cadri6a|t3        1.310    0.096   13.596    0.000    1.310    1.310
    Cadri10a|t1      -0.889    0.081  -11.024    0.000   -0.889   -0.889
    Cadri10a|t2       0.313    0.071    4.410    0.000    0.313    0.313
    Cadri10a|t3       0.996    0.084   11.895    0.000    0.996    0.996
    Cadri11a|t1      -0.935    0.082  -11.418    0.000   -0.935   -0.935
    Cadri11a|t2       0.403    0.072    5.616    0.000    0.403    0.403
    Cadri11a|t3       1.117    0.088   12.701    0.000    1.117    1.117
    Cadri14a|t1      -0.935    0.082  -11.418    0.000   -0.935   -0.935
    Cadri14a|t2       0.108    0.070    1.546    0.122    0.108    0.108
    Cadri14a|t3       0.759    0.077    9.802    0.000    0.759    0.759
    Cadri16a|t1      -0.549    0.074   -7.465    0.000   -0.549   -0.549
    Cadri16a|t2       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri16a|t3       1.062    0.086   12.353    0.000    1.062    1.062
    Cadri18a|t1      -1.035    0.085  -12.173    0.000   -1.035   -1.035
    Cadri18a|t2      -0.062    0.070   -0.883    0.377   -0.062   -0.062
    Cadri18a|t3       0.595    0.074    8.003    0.000    0.595    0.595
    Cadri22a|t1      -0.749    0.077   -9.698    0.000   -0.749   -0.749
    Cadri22a|t2       0.178    0.070    2.539    0.011    0.178    0.178
    Cadri22a|t3       0.822    0.079   10.420    0.000    0.822    0.822
    Cadri26a|t1      -0.699    0.076   -9.174    0.000   -0.699   -0.699
    Cadri26a|t2       0.420    0.072    5.834    0.000    0.420    0.420
    Cadri26a|t3       1.009    0.084   11.989    0.000    1.009    1.009
    Cadri27a|t1      -0.241    0.070   -3.420    0.001   -0.241   -0.241
    Cadri27a|t2       0.699    0.076    9.174    0.000    0.699    0.699
    Cadri27a|t3       1.367    0.099   13.767    0.000    1.367    1.367

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.636                               0.636    0.636
   .Cadri7a           0.397                               0.397    0.397
   .Cadri9a           0.542                               0.542    0.542
   .Cadri12a          0.495                               0.495    0.495
   .Cadri17a          0.381                               0.381    0.381
   .Cadri21a          0.638                               0.638    0.638
   .Cadri23a          0.732                               0.732    0.732
   .Cadri24a          0.507                               0.507    0.507
   .Cadri28a          0.474                               0.474    0.474
   .Cadri32a          0.496                               0.496    0.496
   .Cadri8a           0.308                               0.308    0.308
   .Cadri25a          0.381                               0.381    0.381
   .Cadri30a          0.209                               0.209    0.209
   .Cadri34a          0.329                               0.329    0.329
   .Cadri29a          0.630                               0.630    0.630
   .Cadri31a          0.518                               0.518    0.518
   .Cadri33a          0.245                               0.245    0.245
   .Cadri3a           0.616                               0.616    0.616
   .Cadri20a          0.360                               0.360    0.360
   .Cadri35a          0.521                               0.521    0.521
   .Cadri2a           0.645                               0.645    0.645
   .Cadri19a          0.372                               0.372    0.372
   .Cadri1a           0.508                               0.508    0.508
   .Cadri6a           0.462                               0.462    0.462
   .Cadri10a          0.431                               0.431    0.431
   .Cadri11a          0.481                               0.481    0.481
   .Cadri14a          0.360                               0.360    0.360
   .Cadri16a          0.326                               0.326    0.326
   .Cadri18a          0.413                               0.413    0.413
   .Cadri22a          0.434                               0.434    0.434
   .Cadri26a          0.395                               0.395    0.395
   .Cadri27a          0.652                               0.652    0.652
    V_verbal          0.364    0.057    6.343    0.000    1.000    1.000
    V_fisica          0.692    0.076    9.063    0.000    1.000    1.000
    C_amenaz          0.370    0.073    5.062    0.000    1.000    1.000
    V_relaci          0.384    0.102    3.772    0.000    1.000    1.000
    V_sexual          0.355    0.106    3.345    0.001    1.000    1.000
    R_confli          0.492    0.048   10.228    0.000    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a           1.000                               1.000    1.000
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri23a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri3a           1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000
    Cadri1a           1.000                               1.000    1.000
    Cadri6a           1.000                               1.000    1.000
    Cadri10a          1.000                               1.000    1.000
    Cadri11a          1.000                               1.000    1.000
    Cadri14a          1.000                               1.000    1.000
    Cadri16a          1.000                               1.000    1.000
    Cadri18a          1.000                               1.000    1.000
    Cadri22a          1.000                               1.000    1.000
    Cadri26a          1.000                               1.000    1.000
    Cadri27a          1.000                               1.000    1.000

2.3 Modelo 03

Se mantienen los cambios del Modelo 02: - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante)

Se adiciona el siguiente cambio: - No considerar al factor Resolución de conflictos como parte del modelo factorial

2.3.1 Estimador MLR

lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 261 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         54
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                719.059     456.499
  Degrees of freedom                                199         199
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.575
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              2322.424    1250.743
  Degrees of freedom                               231         231
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.857

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.751       0.747
  Tucker-Lewis Index (TLI)                       0.711       0.707
                                                                  
  Robust Comparative Fit Index (CFI)                         0.786
  Robust Tucker-Lewis Index (TLI)                            0.751

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -4146.842   -4146.842
  Scaling correction factor                                  6.547
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3787.312   -3787.312
  Scaling correction factor                                  2.636
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                8401.684    8401.684
  Bayesian (BIC)                              8606.177    8606.177
  Sample-size adjusted Bayesian (BIC)         8434.892    8434.892

Root Mean Square Error of Approximation:

  RMSEA                                          0.090       0.063
  90 Percent confidence interval - lower         0.083       0.057
  90 Percent confidence interval - upper         0.097       0.069
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                               0.079
  90 Percent confidence interval - lower                     0.070
  90 Percent confidence interval - upper                     0.089

Standardized Root Mean Square Residual:

  SRMR                                           0.078       0.078

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.358    0.436
    Cadri7a           1.545    0.263    5.875    0.000    0.553    0.716
    Cadri9a           1.159    0.184    6.288    0.000    0.415    0.540
    Cadri12a          1.294    0.271    4.772    0.000    0.463    0.658
    Cadri17a          1.120    0.226    4.959    0.000    0.401    0.702
    Cadri21a          0.658    0.197    3.336    0.001    0.235    0.484
    Cadri23a          0.389    0.098    3.981    0.000    0.139    0.330
    Cadri24a          0.950    0.207    4.589    0.000    0.340    0.591
    Cadri28a          1.383    0.240    5.767    0.000    0.495    0.627
    Cadri32a          1.320    0.243    5.427    0.000    0.472    0.681
  V_fisica =~                                                           
    Cadri8a           1.000                               0.260    0.697
    Cadri25a          0.767    0.236    3.247    0.001    0.199    0.557
    Cadri30a          1.203    0.282    4.264    0.000    0.312    0.732
    Cadri34a          0.888    0.220    4.029    0.000    0.231    0.633
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.112    0.292
    Cadri31a          0.766    0.720    1.065    0.287    0.086    0.391
    Cadri33a          1.323    1.123    1.177    0.239    0.148    0.554
  V_relaci =~                                                           
    Cadri3a           1.000                               0.127    0.324
    Cadri20a          1.472    1.017    1.448    0.148    0.187    0.550
    Cadri35a          1.602    1.292    1.240    0.215    0.203    0.519
  V_sexual =~                                                           
    Cadri2a           1.000                               0.213    0.471
    Cadri19a          1.984    1.826    1.086    0.277    0.422    0.544

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.057    0.020    2.791    0.005    0.611    0.611
    C_amenaz          0.029    0.020    1.488    0.137    0.724    0.724
    V_relaci          0.036    0.024    1.484    0.138    0.784    0.784
    V_sexual          0.033    0.018    1.878    0.060    0.440    0.440
  V_fisica ~~                                                           
    C_amenaz          0.031    0.017    1.803    0.071    1.052    1.052
    V_relaci          0.010    0.013    0.786    0.432    0.309    0.309
    V_sexual          0.027    0.012    2.270    0.023    0.491    0.491
  C_amenaz ~~                                                           
    V_relaci          0.011    0.014    0.789    0.430    0.784    0.784
    V_sexual          0.013    0.016    0.796    0.426    0.538    0.538
  V_relaci ~~                                                           
    V_sexual          0.015    0.021    0.721    0.471    0.556    0.556

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.546    0.057    9.580    0.000    0.546    0.810
   .Cadri7a           0.290    0.033    8.815    0.000    0.290    0.487
   .Cadri9a           0.419    0.049    8.547    0.000    0.419    0.709
   .Cadri12a          0.281    0.042    6.625    0.000    0.281    0.567
   .Cadri17a          0.166    0.023    7.135    0.000    0.166    0.507
   .Cadri21a          0.181    0.034    5.342    0.000    0.181    0.765
   .Cadri23a          0.159    0.041    3.891    0.000    0.159    0.891
   .Cadri24a          0.215    0.024    9.134    0.000    0.215    0.651
   .Cadri28a          0.379    0.043    8.838    0.000    0.379    0.607
   .Cadri32a          0.258    0.037    6.893    0.000    0.258    0.537
   .Cadri8a           0.071    0.015    4.726    0.000    0.071    0.515
   .Cadri25a          0.088    0.020    4.319    0.000    0.088    0.689
   .Cadri30a          0.085    0.029    2.881    0.004    0.085    0.464
   .Cadri34a          0.079    0.023    3.476    0.001    0.079    0.599
   .Cadri29a          0.136    0.026    5.244    0.000    0.136    0.915
   .Cadri31a          0.041    0.024    1.691    0.091    0.041    0.847
   .Cadri33a          0.050    0.025    1.989    0.047    0.050    0.693
   .Cadri3a           0.137    0.043    3.163    0.002    0.137    0.895
   .Cadri20a          0.081    0.032    2.492    0.013    0.081    0.697
   .Cadri35a          0.112    0.031    3.628    0.000    0.112    0.730
   .Cadri2a           0.158    0.045    3.517    0.000    0.158    0.778
   .Cadri19a          0.423    0.174    2.427    0.015    0.423    0.704
    V_verbal          0.128    0.040    3.210    0.001    1.000    1.000
    V_fisica          0.067    0.032    2.136    0.033    1.000    1.000
    C_amenaz          0.013    0.011    1.153    0.249    1.000    1.000
    V_relaci          0.016    0.019    0.849    0.396    1.000    1.000
    V_sexual          0.045    0.044    1.037    0.300    1.000    1.000
lavaan WARNING: starting values imply a correlation larger than 1;
                   variables involved are:  V_fisica   C_amenaz 

2.3.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -6.588562e-17) is smaller than zero. This may be a symptom that
    the model is not identified.lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 55 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         96
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               295.580     321.481
  Degrees of freedom                               199         199
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.346
  Shift parameter                                          101.852
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              7432.070    2947.528
  Degrees of freedom                               231         231
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.651

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.987       0.955
  Tucker-Lewis Index (TLI)                       0.984       0.948
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.039       0.044
  90 Percent confidence interval - lower         0.029       0.035
  90 Percent confidence interval - upper         0.048       0.052
  P-value RMSEA <= 0.05                          0.983       0.890
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.105       0.105

Weighted Root Mean Square Residual:

  WRMR                                           1.001       1.001

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri4a           1.000                               0.534    0.534
    Cadri7a           1.410    0.131   10.752    0.000    0.754    0.754
    Cadri9a           1.225    0.126    9.701    0.000    0.655    0.655
    Cadri12a          1.386    0.145    9.547    0.000    0.741    0.741
    Cadri17a          1.541    0.156    9.866    0.000    0.824    0.824
    Cadri21a          1.250    0.152    8.231    0.000    0.668    0.668
    Cadri23a          1.038    0.139    7.493    0.000    0.555    0.555
    Cadri24a          1.247    0.119   10.485    0.000    0.667    0.667
    Cadri28a          1.319    0.133    9.893    0.000    0.705    0.705
    Cadri32a          1.389    0.136   10.216    0.000    0.743    0.743
  V_fisica =~                                                           
    Cadri8a           1.000                               0.838    0.838
    Cadri25a          0.938    0.076   12.332    0.000    0.786    0.786
    Cadri30a          1.054    0.087   12.127    0.000    0.884    0.884
    Cadri34a          0.977    0.077   12.686    0.000    0.819    0.819
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.574    0.574
    Cadri31a          1.235    0.197    6.271    0.000    0.709    0.709
    Cadri33a          1.553    0.220    7.054    0.000    0.892    0.892
  V_relaci =~                                                           
    Cadri3a           1.000                               0.618    0.618
    Cadri20a          1.309    0.211    6.201    0.000    0.809    0.809
    Cadri35a          1.108    0.166    6.678    0.000    0.685    0.685
  V_sexual =~                                                           
    Cadri2a           1.000                               0.600    0.600
    Cadri19a          1.313    0.287    4.577    0.000    0.787    0.787

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.332    0.043    7.658    0.000    0.741    0.741
    C_amenaz          0.272    0.039    6.880    0.000    0.885    0.885
    V_relaci          0.284    0.055    5.174    0.000    0.860    0.860
    V_sexual          0.152    0.040    3.828    0.000    0.475    0.475
  V_fisica ~~                                                           
    C_amenaz          0.477    0.061    7.804    0.000    0.991    0.991
    V_relaci          0.257    0.075    3.430    0.001    0.495    0.495
    V_sexual          0.271    0.062    4.402    0.000    0.540    0.540
  C_amenaz ~~                                                           
    V_relaci          0.282    0.055    5.164    0.000    0.796    0.796
    V_sexual          0.259    0.066    3.930    0.000    0.753    0.753
  V_relaci ~~                                                           
    V_sexual          0.225    0.059    3.813    0.000    0.608    0.608

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.000                               0.000    0.000
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri23a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri3a           0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fisica          0.000                               0.000    0.000
    C_amenaz          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a|t1       -0.069    0.070   -0.994    0.320   -0.069   -0.069
    Cadri4a|t2        1.035    0.085   12.173    0.000    1.035    1.035
    Cadri4a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri23a|t1       1.224    0.092   13.258    0.000    1.224    1.224
    Cadri23a|t2       2.088    0.166   12.614    0.000    2.088    2.088
    Cadri23a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri3a|t1        1.472    0.105   13.974    0.000    1.472    1.472
    Cadri3a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri3a|t3        2.357    0.214   11.014    0.000    2.357    2.357
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri4a           0.714                               0.714    0.714
   .Cadri7a           0.432                               0.432    0.432
   .Cadri9a           0.572                               0.572    0.572
   .Cadri12a          0.451                               0.451    0.451
   .Cadri17a          0.321                               0.321    0.321
   .Cadri21a          0.554                               0.554    0.554
   .Cadri23a          0.692                               0.692    0.692
   .Cadri24a          0.556                               0.556    0.556
   .Cadri28a          0.503                               0.503    0.503
   .Cadri32a          0.449                               0.449    0.449
   .Cadri8a           0.297                               0.297    0.297
   .Cadri25a          0.382                               0.382    0.382
   .Cadri30a          0.219                               0.219    0.219
   .Cadri34a          0.329                               0.329    0.329
   .Cadri29a          0.670                               0.670    0.670
   .Cadri31a          0.497                               0.497    0.497
   .Cadri33a          0.205                               0.205    0.205
   .Cadri3a           0.618                               0.618    0.618
   .Cadri20a          0.346                               0.346    0.346
   .Cadri35a          0.531                               0.531    0.531
   .Cadri2a           0.640                               0.640    0.640
   .Cadri19a          0.380                               0.380    0.380
    V_verbal          0.286    0.054    5.324    0.000    1.000    1.000
    V_fisica          0.703    0.074    9.472    0.000    1.000    1.000
    C_amenaz          0.330    0.070    4.724    0.000    1.000    1.000
    V_relaci          0.382    0.097    3.921    0.000    1.000    1.000
    V_sexual          0.360    0.104    3.465    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri4a           1.000                               1.000    1.000
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri23a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri3a           1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.3.4 Notas de análisis

Análisis del modelo 02 y 03

  • Cargas factoriales menores a 0.45:
    • Violencia verbal
      • Item 04
      • Item 23
    • Conducta amenzante
      • Item 05
      • Item 29
      • Item 33
  • Violencia relacional
    • Item 03 (aparece un sinsentido en los índices de modificación)
  • Conducta amenzante (Correlación mayor a 1): Violencia verbal, física y amenzante

  • Análisis de Índices de modificación:
    • Resolución de conflictos: Correlación: Item 16 y 26
    • Correlación interfactores: Item 8 (violencia física) y 33 (Conducta amenazante de violencia física)
    • Item 23 no guarda relación con constructo. además está observada por baja carga factorial.

2.4 Modelo 04

Se mantienen los cambios del Modelo 02 y 03: - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante) - No considerar al factor Resolución de conflictos como parte del modelo factorial

Se adiciona el siguiente cambio: - Sin item 04 y 23 (V. Verbal) - Sin item 03 (V. relacional)

2.4.1 Estimador MLR

lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 191 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         48
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                445.926     268.488
  Degrees of freedom                                142         142
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.661
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1937.884     987.012
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.963

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.828       0.845
  Tucker-Lewis Index (TLI)                       0.793       0.813
                                                                  
  Robust Comparative Fit Index (CFI)                         0.869
  Robust Tucker-Lewis Index (TLI)                            0.842

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3465.899   -3465.899
  Scaling correction factor                                  6.492
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3242.936   -3242.936
  Scaling correction factor                                  2.881
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                7027.798    7027.798
  Bayesian (BIC)                              7209.570    7209.570
  Sample-size adjusted Bayesian (BIC)         7057.317    7057.317

Root Mean Square Error of Approximation:

  RMSEA                                          0.081       0.052
  90 Percent confidence interval - lower         0.073       0.045
  90 Percent confidence interval - upper         0.090       0.060
  P-value RMSEA <= 0.05                          0.000       0.300
                                                                  
  Robust RMSEA                                               0.067
  90 Percent confidence interval - lower                     0.055
  90 Percent confidence interval - upper                     0.080

Standardized Root Mean Square Residual:

  SRMR                                           0.069       0.069

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.540    0.699
    Cadri9a           0.755    0.103    7.346    0.000    0.407    0.530
    Cadri12a          0.889    0.097    9.115    0.000    0.480    0.681
    Cadri17a          0.756    0.084    9.026    0.000    0.408    0.715
    Cadri21a          0.440    0.110    4.014    0.000    0.238    0.489
    Cadri24a          0.636    0.099    6.427    0.000    0.343    0.597
    Cadri28a          0.911    0.098    9.266    0.000    0.491    0.622
    Cadri32a          0.869    0.091    9.525    0.000    0.469    0.676
  V_fisica =~                                                           
    Cadri8a           1.000                               0.257    0.690
    Cadri25a          0.760    0.231    3.283    0.001    0.195    0.547
    Cadri30a          1.236    0.299    4.130    0.000    0.318    0.745
    Cadri34a          0.894    0.226    3.951    0.000    0.230    0.631
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.109    0.283
    Cadri31a          0.747    0.764    0.977    0.329    0.081    0.370
    Cadri33a          1.407    1.247    1.128    0.259    0.154    0.573
  V_relaci =~                                                           
    Cadri20a          1.000                               0.196    0.575
    Cadri35a          1.098    0.410    2.680    0.007    0.215    0.548
  V_sexual =~                                                           
    Cadri2a           1.000                               0.201    0.446
    Cadri19a          2.218    2.076    1.069    0.285    0.446    0.576

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.086    0.032    2.696    0.007    0.620    0.620
    C_amenaz          0.042    0.034    1.245    0.213    0.720    0.720
    V_relaci          0.077    0.036    2.140    0.032    0.727    0.727
    V_sexual          0.046    0.028    1.636    0.102    0.421    0.421
  V_fisica ~~                                                           
    C_amenaz          0.030    0.018    1.604    0.109    1.055    1.055
    V_relaci          0.011    0.009    1.126    0.260    0.210    0.210
    V_sexual          0.026    0.013    2.016    0.044    0.494    0.494
  C_amenaz ~~                                                           
    V_relaci          0.013    0.010    1.309    0.191    0.626    0.626
    V_sexual          0.011    0.015    0.769    0.442    0.514    0.514
  V_relaci ~~                                                           
    V_sexual          0.017    0.021    0.783    0.434    0.422    0.422

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.305    0.036    8.460    0.000    0.305    0.511
   .Cadri9a           0.425    0.049    8.604    0.000    0.425    0.719
   .Cadri12a          0.266    0.042    6.395    0.000    0.266    0.536
   .Cadri17a          0.160    0.023    6.804    0.000    0.160    0.489
   .Cadri21a          0.180    0.034    5.260    0.000    0.180    0.761
   .Cadri24a          0.213    0.024    8.882    0.000    0.213    0.644
   .Cadri28a          0.382    0.044    8.705    0.000    0.382    0.613
   .Cadri32a          0.262    0.039    6.789    0.000    0.262    0.543
   .Cadri8a           0.073    0.015    4.694    0.000    0.073    0.524
   .Cadri25a          0.089    0.020    4.409    0.000    0.089    0.701
   .Cadri30a          0.081    0.028    2.923    0.003    0.081    0.445
   .Cadri34a          0.080    0.023    3.542    0.000    0.080    0.602
   .Cadri29a          0.136    0.026    5.215    0.000    0.136    0.920
   .Cadri31a          0.042    0.026    1.618    0.106    0.042    0.863
   .Cadri33a          0.048    0.026    1.865    0.062    0.048    0.671
   .Cadri20a          0.077    0.030    2.580    0.010    0.077    0.669
   .Cadri35a          0.107    0.030    3.629    0.000    0.107    0.700
   .Cadri2a           0.163    0.045    3.590    0.000    0.163    0.801
   .Cadri19a          0.402    0.197    2.035    0.042    0.402    0.669
    V_verbal          0.291    0.059    4.960    0.000    1.000    1.000
    V_fisica          0.066    0.031    2.101    0.036    1.000    1.000
    C_amenaz          0.012    0.011    1.080    0.280    1.000    1.000
    V_relaci          0.038    0.025    1.501    0.133    1.000    1.000
    V_sexual          0.040    0.039    1.034    0.301    1.000    1.000
lavaan WARNING: starting values imply a correlation larger than 1;
                   variables involved are:  V_fisica   C_amenaz 

2.4.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -3.944463e-17) is smaller than zero. This may be a symptom that
    the model is not identified.lavaan WARNING: covariance matrix of latent variables
                is not positive definite;
                use lavInspect(fit, "cov.lv") to investigate.
lavaan 0.6-6 ended normally after 48 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         84
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               164.755     205.232
  Degrees of freedom                               142         142
  P-value (Chi-square)                           0.093       0.000
  Scaling correction factor                                  1.192
  Shift parameter                                           67.055
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6323.983    2674.620
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.458

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.996       0.975
  Tucker-Lewis Index (TLI)                       0.996       0.970
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.022       0.037
  90 Percent confidence interval - lower         0.000       0.025
  90 Percent confidence interval - upper         0.036       0.048
  P-value RMSEA <= 0.05                          1.000       0.978
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.094       0.094

Weighted Root Mean Square Residual:

  WRMR                                           0.854       0.854

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.736    0.736
    Cadri9a           0.868    0.071   12.179    0.000    0.639    0.639
    Cadri12a          1.037    0.066   15.669    0.000    0.763    0.763
    Cadri17a          1.139    0.070   16.343    0.000    0.838    0.838
    Cadri21a          0.916    0.085   10.783    0.000    0.674    0.674
    Cadri24a          0.917    0.061   14.936    0.000    0.674    0.674
    Cadri28a          0.949    0.068   13.987    0.000    0.698    0.698
    Cadri32a          0.997    0.063   15.790    0.000    0.734    0.734
  V_fisica =~                                                           
    Cadri8a           1.000                               0.840    0.840
    Cadri25a          0.937    0.075   12.504    0.000    0.787    0.787
    Cadri30a          1.049    0.087   12.100    0.000    0.881    0.881
    Cadri34a          0.978    0.076   12.802    0.000    0.821    0.821
  C_amenaz =~                                                           
    Cadri29a          1.000                               0.569    0.569
    Cadri31a          1.240    0.205    6.040    0.000    0.706    0.706
    Cadri33a          1.593    0.224    7.118    0.000    0.907    0.907
  V_relaci =~                                                           
    Cadri20a          1.000                               0.846    0.846
    Cadri35a          0.853    0.108    7.926    0.000    0.721    0.721
  V_sexual =~                                                           
    Cadri2a           1.000                               0.602    0.602
    Cadri19a          1.303    0.286    4.559    0.000    0.785    0.785

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.464    0.049    9.515    0.000    0.752    0.752
    C_amenaz          0.373    0.049    7.662    0.000    0.892    0.892
    V_relaci          0.509    0.069    7.434    0.000    0.819    0.819
    V_sexual          0.203    0.053    3.842    0.000    0.459    0.459
  V_fisica ~~                                                           
    C_amenaz          0.469    0.061    7.725    0.000    0.981    0.981
    V_relaci          0.271    0.108    2.502    0.012    0.381    0.381
    V_sexual          0.273    0.062    4.383    0.000    0.541    0.541
  C_amenaz ~~                                                           
    V_relaci          0.317    0.059    5.357    0.000    0.659    0.659
    V_sexual          0.257    0.065    3.962    0.000    0.752    0.752
  V_relaci ~~                                                           
    V_sexual          0.285    0.070    4.069    0.000    0.559    0.559

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fisica          0.000                               0.000    0.000
    C_amenaz          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.459                               0.459    0.459
   .Cadri9a           0.592                               0.592    0.592
   .Cadri12a          0.418                               0.418    0.418
   .Cadri17a          0.298                               0.298    0.298
   .Cadri21a          0.546                               0.546    0.546
   .Cadri24a          0.545                               0.545    0.545
   .Cadri28a          0.513                               0.513    0.513
   .Cadri32a          0.462                               0.462    0.462
   .Cadri8a           0.295                               0.295    0.295
   .Cadri25a          0.381                               0.381    0.381
   .Cadri30a          0.225                               0.225    0.225
   .Cadri34a          0.326                               0.326    0.326
   .Cadri29a          0.676                               0.676    0.676
   .Cadri31a          0.502                               0.502    0.502
   .Cadri33a          0.178                               0.178    0.178
   .Cadri20a          0.285                               0.285    0.285
   .Cadri35a          0.480                               0.480    0.480
   .Cadri2a           0.638                               0.638    0.638
   .Cadri19a          0.384                               0.384    0.384
    V_verbal          0.541    0.052   10.483    0.000    1.000    1.000
    V_fisica          0.705    0.074    9.486    0.000    1.000    1.000
    C_amenaz          0.324    0.071    4.582    0.000    1.000    1.000
    V_relaci          0.715    0.147    4.883    0.000    1.000    1.000
    V_sexual          0.362    0.106    3.413    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.5 Modelo 04 Fork

Se mantienen los cambios de los modelos anteriores - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante) - No considerar al factor Resolución de conflictos como parte del modelo factorial - Sin item 04 y 23 (V. Verbal) - Sin item 03 (V. relacional)

Se incorpora los cambios que se encontrarán en el modelo 07 posteriormente: - Teórica y empíricamente el ítem 21 afecta directamente a las relaciones de la persona - Quitar el ítem 29. Presenta carga compuesta

2.5.1 Estimador MLR

lavaan 0.6-6 ended normally after 140 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         46
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                329.398     201.886
  Degrees of freedom                                125         125
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.632
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1844.236     940.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.961

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.879       0.902
  Tucker-Lewis Index (TLI)                       0.852       0.881
                                                                  
  Robust Comparative Fit Index (CFI)                         0.919
  Robust Tucker-Lewis Index (TLI)                            0.901

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3303.012   -3303.012
  Scaling correction factor                                  6.547
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3138.313   -3138.313
  Scaling correction factor                                  2.954
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                6698.024    6698.024
  Bayesian (BIC)                              6872.222    6872.222
  Sample-size adjusted Bayesian (BIC)         6726.312    6726.312

Root Mean Square Error of Approximation:

  RMSEA                                          0.071       0.043
  90 Percent confidence interval - lower         0.062       0.035
  90 Percent confidence interval - upper         0.080       0.052
  P-value RMSEA <= 0.05                          0.000       0.896
                                                                  
  Robust RMSEA                                               0.055
  90 Percent confidence interval - lower                     0.041
  90 Percent confidence interval - upper                     0.069

Standardized Root Mean Square Residual:

  SRMR                                           0.056       0.056

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.541    0.701
    Cadri9a           0.755    0.102    7.386    0.000    0.409    0.531
    Cadri12a          0.901    0.099    9.058    0.000    0.487    0.692
    Cadri17a          0.753    0.085    8.827    0.000    0.407    0.713
    Cadri24a          0.630    0.098    6.395    0.000    0.341    0.592
    Cadri28a          0.913    0.102    8.993    0.000    0.494    0.625
    Cadri32a          0.873    0.091    9.559    0.000    0.472    0.681
  V_fisica =~                                                           
    Cadri8a           1.000                               0.261    0.701
    Cadri25a          0.740    0.233    3.170    0.002    0.193    0.541
    Cadri30a          1.210    0.285    4.249    0.000    0.316    0.741
    Cadri34a          0.873    0.223    3.912    0.000    0.228    0.626
  C_amenaz =~                                                           
    Cadri31a          1.000                               0.091    0.411
    Cadri33a          2.118    1.302    1.626    0.104    0.192    0.716
  V_relaci =~                                                           
    Cadri20a          1.000                               0.202    0.595
    Cadri21a          1.671    0.401    4.162    0.000    0.338    0.695
    Cadri35a          1.110    0.389    2.855    0.004    0.224    0.573
  V_sexual =~                                                           
    Cadri2a           1.000                               0.179    0.398
    Cadri19a          2.786    1.554    1.793    0.073    0.500    0.645

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.089    0.033    2.737    0.006    0.631    0.631
    C_amenaz          0.025    0.018    1.436    0.151    0.517    0.517
    V_relaci          0.072    0.033    2.145    0.032    0.656    0.656
    V_sexual          0.040    0.021    1.902    0.057    0.408    0.408
  V_fisica ~~                                                           
    C_amenaz          0.021    0.013    1.580    0.114    0.900    0.900
    V_relaci          0.013    0.008    1.642    0.101    0.246    0.246
    V_sexual          0.022    0.011    2.067    0.039    0.478    0.478
  C_amenaz ~~                                                           
    V_relaci          0.007    0.006    1.096    0.273    0.385    0.385
    V_sexual          0.005    0.005    1.002    0.316    0.310    0.310
  V_relaci ~~                                                           
    V_sexual          0.010    0.008    1.269    0.204    0.284    0.284

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.303    0.037    8.086    0.000    0.303    0.509
   .Cadri9a           0.424    0.049    8.611    0.000    0.424    0.718
   .Cadri12a          0.258    0.041    6.301    0.000    0.258    0.521
   .Cadri17a          0.160    0.024    6.614    0.000    0.160    0.491
   .Cadri24a          0.215    0.024    8.888    0.000    0.215    0.649
   .Cadri28a          0.380    0.044    8.606    0.000    0.380    0.609
   .Cadri32a          0.258    0.038    6.854    0.000    0.258    0.536
   .Cadri8a           0.071    0.015    4.724    0.000    0.071    0.508
   .Cadri25a          0.090    0.020    4.433    0.000    0.090    0.707
   .Cadri30a          0.082    0.028    2.932    0.003    0.082    0.451
   .Cadri34a          0.081    0.023    3.580    0.000    0.081    0.608
   .Cadri31a          0.040    0.025    1.593    0.111    0.040    0.831
   .Cadri33a          0.035    0.024    1.450    0.147    0.035    0.488
   .Cadri20a          0.075    0.028    2.621    0.009    0.075    0.646
   .Cadri21a          0.122    0.034    3.583    0.000    0.122    0.517
   .Cadri35a          0.103    0.030    3.435    0.001    0.103    0.672
   .Cadri2a           0.171    0.044    3.916    0.000    0.171    0.842
   .Cadri19a          0.351    0.161    2.184    0.029    0.351    0.584
    V_verbal          0.293    0.059    4.925    0.000    1.000    1.000
    V_fisica          0.068    0.032    2.108    0.035    1.000    1.000
    C_amenaz          0.008    0.009    0.875    0.382    1.000    1.000
    V_relaci          0.041    0.027    1.537    0.124    1.000    1.000
    V_sexual          0.032    0.021    1.556    0.120    1.000    1.000

2.5.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -4.288700e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 37 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         81
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               107.159     153.954
  Degrees of freedom                               125         125
  P-value (Chi-square)                           0.874       0.040
  Scaling correction factor                                  1.100
  Shift parameter                                           56.530
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6023.208    2620.833
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.379

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    1.000       0.988
  Tucker-Lewis Index (TLI)                       1.004       0.986
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.000       0.027
  90 Percent confidence interval - lower         0.000       0.006
  90 Percent confidence interval - upper         0.015       0.040
  P-value RMSEA <= 0.05                          1.000       0.999
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.080       0.080

Weighted Root Mean Square Residual:

  WRMR                                           0.721       0.721

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.745    0.745
    Cadri9a           0.849    0.071   11.966    0.000    0.632    0.632
    Cadri12a          1.041    0.065   16.061    0.000    0.775    0.775
    Cadri17a          1.128    0.069   16.390    0.000    0.840    0.840
    Cadri24a          0.917    0.061   15.021    0.000    0.683    0.683
    Cadri28a          0.936    0.067   13.908    0.000    0.697    0.697
    Cadri32a          0.994    0.062   16.065    0.000    0.740    0.740
  V_fisica =~                                                           
    Cadri8a           1.000                               0.839    0.839
    Cadri25a          0.934    0.073   12.798    0.000    0.784    0.784
    Cadri30a          1.051    0.084   12.543    0.000    0.882    0.882
    Cadri34a          0.981    0.075   13.016    0.000    0.823    0.823
  C_amenaz =~                                                           
    Cadri31a          1.000                               0.780    0.780
    Cadri33a          1.229    0.156    7.880    0.000    0.959    0.959
  V_relaci =~                                                           
    Cadri20a          1.000                               0.845    0.845
    Cadri21a          1.004    0.131    7.660    0.000    0.849    0.849
    Cadri35a          0.849    0.106    7.986    0.000    0.718    0.718
  V_sexual =~                                                           
    Cadri2a           1.000                               0.596    0.596
    Cadri19a          1.329    0.288    4.620    0.000    0.792    0.792

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fisica          0.471    0.049    9.633    0.000    0.754    0.754
    C_amenaz          0.449    0.066    6.834    0.000    0.772    0.772
    V_relaci          0.459    0.068    6.719    0.000    0.730    0.730
    V_sexual          0.202    0.053    3.826    0.000    0.455    0.455
  V_fisica ~~                                                           
    C_amenaz          0.617    0.080    7.756    0.000    0.942    0.942
    V_relaci          0.316    0.088    3.612    0.000    0.446    0.446
    V_sexual          0.269    0.061    4.421    0.000    0.539    0.539
  C_amenaz ~~                                                           
    V_relaci          0.359    0.064    5.640    0.000    0.545    0.545
    V_sexual          0.318    0.061    5.212    0.000    0.683    0.683
  V_relaci ~~                                                           
    V_sexual          0.232    0.056    4.111    0.000    0.461    0.461

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fisica          0.000                               0.000    0.000
    C_amenaz          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.445                               0.445    0.445
   .Cadri9a           0.600                               0.600    0.600
   .Cadri12a          0.399                               0.399    0.399
   .Cadri17a          0.294                               0.294    0.294
   .Cadri24a          0.534                               0.534    0.534
   .Cadri28a          0.514                               0.514    0.514
   .Cadri32a          0.452                               0.452    0.452
   .Cadri8a           0.296                               0.296    0.296
   .Cadri25a          0.386                               0.386    0.386
   .Cadri30a          0.222                               0.222    0.222
   .Cadri34a          0.322                               0.322    0.322
   .Cadri31a          0.391                               0.391    0.391
   .Cadri33a          0.080                               0.080    0.080
   .Cadri20a          0.286                               0.286    0.286
   .Cadri21a          0.280                               0.280    0.280
   .Cadri35a          0.485                               0.485    0.485
   .Cadri2a           0.645                               0.645    0.645
   .Cadri19a          0.372                               0.372    0.372
    V_verbal          0.555    0.052   10.596    0.000    1.000    1.000
    V_fisica          0.704    0.072    9.714    0.000    1.000    1.000
    C_amenaz          0.609    0.114    5.341    0.000    1.000    1.000
    V_relaci          0.714    0.136    5.268    0.000    1.000    1.000
    V_sexual          0.355    0.104    3.421    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.5.3 Fiabilidad del modelo categórico

For constructs with categorical indicators, the alpha and the average variance extracted are calculated from polychoric (polyserial) correlations, not from Pearson correlations.
        V_verbal  V_fisica  C_amenaz  V_relaci  V_sexual
alpha  0.8869414 0.9004611 0.8562722 0.8443092 0.6416203
omega  0.8206988 0.7758095 0.6651273 0.6705323 0.5201420
omega2 0.8206988 0.7758095 0.6651273 0.6705323 0.5201420
omega3 0.8260569 0.7763087 0.6651274 0.6695223 0.5201421
avevar 0.5373876 0.6934556 0.7646412 0.6498375 0.4916250

2.6 Modelo 05

Se mantienen los cambios de los modelos 01 al 04 - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante) - No considerar al factor Resolución de conflictos como parte del modelo factorial - Sin item 04 y 23 (V. Verbal) - Sin item 03 (V. relacional)

Se adiciona el siguiente cambio: - Unir factor de conducta amenzante con violencia física debido a que el contenido de los ítems hacen alusión a la intención de hacer un daño físico. Esto es mejor a generar errores correlacionados entre ítems que pertenecen a diferentes dimensiones.

2.6.1 Estimador MLR

lavaan 0.6-6 ended normally after 98 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         44
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                463.603     269.564
  Degrees of freedom                                146         146
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.720
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1937.884     987.012
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.963

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.820       0.849
  Tucker-Lewis Index (TLI)                       0.789       0.823
                                                                  
  Robust Comparative Fit Index (CFI)                         0.867
  Robust Tucker-Lewis Index (TLI)                            0.845

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3474.738   -3474.738
  Scaling correction factor                                  6.736
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3242.936   -3242.936
  Scaling correction factor                                  2.881
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                7037.476    7037.476
  Bayesian (BIC)                              7204.099    7204.099
  Sample-size adjusted Bayesian (BIC)         7064.534    7064.534

Root Mean Square Error of Approximation:

  RMSEA                                          0.082       0.051
  90 Percent confidence interval - lower         0.073       0.044
  90 Percent confidence interval - upper         0.090       0.058
  P-value RMSEA <= 0.05                          0.000       0.405
                                                                  
  Robust RMSEA                                               0.067
  90 Percent confidence interval - lower                     0.054
  90 Percent confidence interval - upper                     0.079

Standardized Root Mean Square Residual:

  SRMR                                           0.072       0.072

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.540    0.699
    Cadri9a           0.755    0.103    7.315    0.000    0.407    0.530
    Cadri12a          0.888    0.098    9.050    0.000    0.479    0.680
    Cadri17a          0.756    0.084    9.028    0.000    0.408    0.715
    Cadri21a          0.441    0.110    4.024    0.000    0.238    0.489
    Cadri24a          0.636    0.099    6.449    0.000    0.343    0.597
    Cadri28a          0.910    0.098    9.252    0.000    0.491    0.622
    Cadri32a          0.869    0.091    9.543    0.000    0.469    0.676
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.258    0.693
    Cadri25a          0.766    0.231    3.315    0.001    0.198    0.554
    Cadri30a          1.226    0.289    4.235    0.000    0.317    0.742
    Cadri34a          0.887    0.219    4.059    0.000    0.229    0.629
    Cadri29a          0.374    0.224    1.664    0.096    0.096    0.251
    Cadri31a          0.336    0.214    1.572    0.116    0.087    0.394
    Cadri33a          0.640    0.170    3.758    0.000    0.165    0.617
  V_relaci =~                                                           
    Cadri20a          1.000                               0.193    0.569
    Cadri35a          1.122    0.436    2.574    0.010    0.217    0.554
  V_sexual =~                                                           
    Cadri2a           1.000                               0.199    0.442
    Cadri19a          2.257    2.263    0.997    0.319    0.450    0.581

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.088    0.031    2.797    0.005    0.629    0.629
    V_relaci          0.076    0.036    2.121    0.034    0.728    0.728
    V_sexual          0.045    0.030    1.501    0.133    0.421    0.421
  V_fis_am ~~                                                           
    V_relaci          0.014    0.011    1.351    0.177    0.286    0.286
    V_sexual          0.025    0.014    1.795    0.073    0.486    0.486
  V_relaci ~~                                                           
    V_sexual          0.016    0.022    0.728    0.467    0.417    0.417

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.305    0.036    8.481    0.000    0.305    0.511
   .Cadri9a           0.425    0.049    8.604    0.000    0.425    0.719
   .Cadri12a          0.266    0.041    6.415    0.000    0.266    0.537
   .Cadri17a          0.160    0.023    6.811    0.000    0.160    0.489
   .Cadri21a          0.180    0.034    5.258    0.000    0.180    0.761
   .Cadri24a          0.213    0.024    8.875    0.000    0.213    0.644
   .Cadri28a          0.382    0.044    8.705    0.000    0.382    0.613
   .Cadri32a          0.261    0.039    6.789    0.000    0.261    0.543
   .Cadri8a           0.072    0.015    4.770    0.000    0.072    0.519
   .Cadri25a          0.088    0.020    4.440    0.000    0.088    0.693
   .Cadri30a          0.082    0.028    2.888    0.004    0.082    0.449
   .Cadri34a          0.080    0.022    3.579    0.000    0.080    0.604
   .Cadri29a          0.139    0.027    5.149    0.000    0.139    0.937
   .Cadri31a          0.041    0.023    1.760    0.078    0.041    0.845
   .Cadri33a          0.044    0.017    2.690    0.007    0.044    0.619
   .Cadri20a          0.078    0.030    2.642    0.008    0.078    0.676
   .Cadri35a          0.106    0.029    3.656    0.000    0.106    0.693
   .Cadri2a           0.164    0.046    3.543    0.000    0.164    0.805
   .Cadri19a          0.398    0.213    1.870    0.061    0.398    0.663
    V_verbal          0.291    0.059    4.959    0.000    1.000    1.000
    V_fis_am          0.067    0.032    2.091    0.037    1.000    1.000
    V_relaci          0.037    0.025    1.485    0.137    1.000    1.000
    V_sexual          0.040    0.041    0.969    0.332    1.000    1.000

2.6.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -5.576008e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 34 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         80
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               180.772     216.053
  Degrees of freedom                               146         146
  P-value (Chi-square)                           0.027       0.000
  Scaling correction factor                                  1.241
  Shift parameter                                           70.420
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6323.983    2674.620
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.458

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.994       0.972
  Tucker-Lewis Index (TLI)                       0.993       0.967
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.027       0.038
  90 Percent confidence interval - lower         0.010       0.027
  90 Percent confidence interval - upper         0.039       0.049
  P-value RMSEA <= 0.05                          1.000       0.966
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.099       0.099

Weighted Root Mean Square Residual:

  WRMR                                           0.894       0.894

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.736    0.736
    Cadri9a           0.866    0.071   12.118    0.000    0.637    0.637
    Cadri12a          1.040    0.066   15.719    0.000    0.765    0.765
    Cadri17a          1.138    0.070   16.357    0.000    0.837    0.837
    Cadri21a          0.916    0.085   10.791    0.000    0.674    0.674
    Cadri24a          0.917    0.062   14.884    0.000    0.675    0.675
    Cadri28a          0.946    0.068   13.968    0.000    0.696    0.696
    Cadri32a          0.999    0.063   15.823    0.000    0.735    0.735
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.820    0.820
    Cadri25a          0.939    0.075   12.442    0.000    0.770    0.770
    Cadri30a          1.042    0.085   12.245    0.000    0.854    0.854
    Cadri34a          0.977    0.076   12.772    0.000    0.801    0.801
    Cadri29a          0.714    0.090    7.953    0.000    0.586    0.586
    Cadri31a          0.919    0.109    8.418    0.000    0.753    0.753
    Cadri33a          1.142    0.088   13.022    0.000    0.937    0.937
  V_relaci =~                                                           
    Cadri20a          1.000                               0.837    0.837
    Cadri35a          0.872    0.112    7.807    0.000    0.729    0.729
  V_sexual =~                                                           
    Cadri2a           1.000                               0.597    0.597
    Cadri19a          1.324    0.294    4.499    0.000    0.791    0.791

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.480    0.046   10.350    0.000    0.795    0.795
    V_relaci          0.505    0.069    7.352    0.000    0.820    0.820
    V_sexual          0.201    0.053    3.803    0.000    0.457    0.457
  V_fis_am ~~                                                           
    V_relaci          0.360    0.074    4.853    0.000    0.525    0.525
    V_sexual          0.305    0.062    4.933    0.000    0.623    0.623
  V_relaci ~~                                                           
    V_sexual          0.277    0.069    4.037    0.000    0.555    0.555

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fis_am          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.459                               0.459    0.459
   .Cadri9a           0.594                               0.594    0.594
   .Cadri12a          0.414                               0.414    0.414
   .Cadri17a          0.299                               0.299    0.299
   .Cadri21a          0.546                               0.546    0.546
   .Cadri24a          0.545                               0.545    0.545
   .Cadri28a          0.516                               0.516    0.516
   .Cadri32a          0.460                               0.460    0.460
   .Cadri8a           0.328                               0.328    0.328
   .Cadri25a          0.407                               0.407    0.407
   .Cadri30a          0.271                               0.271    0.271
   .Cadri34a          0.358                               0.358    0.358
   .Cadri29a          0.657                               0.657    0.657
   .Cadri31a          0.432                               0.432    0.432
   .Cadri33a          0.123                               0.123    0.123
   .Cadri20a          0.300                               0.300    0.300
   .Cadri35a          0.468                               0.468    0.468
   .Cadri2a           0.643                               0.643    0.643
   .Cadri19a          0.375                               0.375    0.375
    V_verbal          0.541    0.052   10.475    0.000    1.000    1.000
    V_fis_am          0.672    0.075    8.973    0.000    1.000    1.000
    V_relaci          0.700    0.145    4.826    0.000    1.000    1.000
    V_sexual          0.357    0.106    3.369    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.7 Modelo 06

Se mantienen los cambios de los modelos 01 al 04 y 05 - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante) - No considerar al factor Resolución de conflictos como parte del modelo factorial - Sin item 04 y 23 (V. Verbal) - Sin item 03 (V. relacional) - Unir factor de conducta amenzante con violencia física

Se adiciona el siguiente cambio: - Ítem 21 pasa a violencia relacional: Su contenido hace referencia directamente a las relaciones de las personas

Nota: Alerta con el ítem 29. Puede tener sesgo por deseabilidad social (el modelo 07 será sin este ítem)

2.7.1 Estimador MLR

lavaan 0.6-6 ended normally after 100 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         44
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                418.887     240.974
  Degrees of freedom                                146         146
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.738
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1937.884     987.012
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.963

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.846       0.884
  Tucker-Lewis Index (TLI)                       0.819       0.864
                                                                  
  Robust Comparative Fit Index (CFI)                         0.897
  Robust Tucker-Lewis Index (TLI)                            0.879

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3452.379   -3452.379
  Scaling correction factor                                  6.675
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3242.936   -3242.936
  Scaling correction factor                                  2.881
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                6992.759    6992.759
  Bayesian (BIC)                              7159.382    7159.382
  Sample-size adjusted Bayesian (BIC)         7019.817    7019.817

Root Mean Square Error of Approximation:

  RMSEA                                          0.076       0.045
  90 Percent confidence interval - lower         0.067       0.037
  90 Percent confidence interval - upper         0.084       0.052
  P-value RMSEA <= 0.05                          0.000       0.875
                                                                  
  Robust RMSEA                                               0.059
  90 Percent confidence interval - lower                     0.045
  90 Percent confidence interval - upper                     0.072

Standardized Root Mean Square Residual:

  SRMR                                           0.068       0.068

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.541    0.701
    Cadri9a           0.757    0.103    7.356    0.000    0.410    0.533
    Cadri12a          0.898    0.101    8.923    0.000    0.486    0.690
    Cadri17a          0.754    0.085    8.842    0.000    0.408    0.714
    Cadri24a          0.630    0.098    6.423    0.000    0.341    0.593
    Cadri28a          0.913    0.102    8.942    0.000    0.494    0.625
    Cadri32a          0.872    0.092    9.464    0.000    0.472    0.680
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.258    0.693
    Cadri25a          0.765    0.230    3.331    0.001    0.198    0.553
    Cadri30a          1.228    0.289    4.247    0.000    0.317    0.744
    Cadri34a          0.882    0.216    4.092    0.000    0.228    0.626
    Cadri29a          0.374    0.225    1.663    0.096    0.097    0.251
    Cadri31a          0.339    0.213    1.588    0.112    0.088    0.398
    Cadri33a          0.641    0.168    3.805    0.000    0.166    0.618
  V_relaci =~                                                           
    Cadri20a          1.000                               0.197    0.581
    Cadri21a          1.752    0.417    4.203    0.000    0.346    0.711
    Cadri35a          1.133    0.397    2.852    0.004    0.224    0.571
  V_sexual =~                                                           
    Cadri2a           1.000                               0.175    0.389
    Cadri19a          2.914    1.811    1.609    0.108    0.511    0.660

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.089    0.031    2.838    0.005    0.636    0.636
    V_relaci          0.070    0.033    2.112    0.035    0.653    0.653
    V_sexual          0.038    0.023    1.681    0.093    0.403    0.403
  V_fis_am ~~                                                           
    V_relaci          0.015    0.008    1.878    0.060    0.302    0.302
    V_sexual          0.021    0.011    1.878    0.060    0.467    0.467
  V_relaci ~~                                                           
    V_sexual          0.009    0.008    1.165    0.244    0.271    0.271

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.303    0.037    8.092    0.000    0.303    0.509
   .Cadri9a           0.423    0.049    8.600    0.000    0.423    0.716
   .Cadri12a          0.259    0.041    6.307    0.000    0.259    0.523
   .Cadri17a          0.160    0.024    6.719    0.000    0.160    0.490
   .Cadri24a          0.215    0.024    8.892    0.000    0.215    0.649
   .Cadri28a          0.380    0.044    8.608    0.000    0.380    0.609
   .Cadri32a          0.259    0.038    6.806    0.000    0.259    0.538
   .Cadri8a           0.072    0.015    4.777    0.000    0.072    0.519
   .Cadri25a          0.089    0.020    4.457    0.000    0.089    0.694
   .Cadri30a          0.081    0.028    2.894    0.004    0.081    0.447
   .Cadri34a          0.081    0.022    3.612    0.000    0.081    0.608
   .Cadri29a          0.139    0.027    5.157    0.000    0.139    0.937
   .Cadri31a          0.041    0.023    1.760    0.078    0.041    0.842
   .Cadri33a          0.044    0.017    2.681    0.007    0.044    0.618
   .Cadri20a          0.077    0.029    2.649    0.008    0.077    0.663
   .Cadri21a          0.117    0.033    3.520    0.000    0.117    0.494
   .Cadri35a          0.103    0.030    3.423    0.001    0.103    0.674
   .Cadri2a           0.173    0.044    3.968    0.000    0.173    0.849
   .Cadri19a          0.339    0.179    1.901    0.057    0.339    0.565
    V_verbal          0.293    0.060    4.892    0.000    1.000    1.000
    V_fis_am          0.067    0.032    2.095    0.036    1.000    1.000
    V_relaci          0.039    0.026    1.502    0.133    1.000    1.000
    V_sexual          0.031    0.022    1.416    0.157    1.000    1.000

2.7.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -4.365953e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 35 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         80
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               158.470     199.551
  Degrees of freedom                               146         146
  P-value (Chi-square)                           0.227       0.002
  Scaling correction factor                                  1.226
  Shift parameter                                           70.273
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6323.983    2674.620
  Degrees of freedom                               171         171
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.458

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.998       0.979
  Tucker-Lewis Index (TLI)                       0.998       0.975
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.016       0.034
  90 Percent confidence interval - lower         0.000       0.021
  90 Percent confidence interval - upper         0.032       0.045
  P-value RMSEA <= 0.05                          1.000       0.994
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.096       0.096

Weighted Root Mean Square Residual:

  WRMR                                           0.837       0.837

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.741    0.741
    Cadri9a           0.863    0.072   12.064    0.000    0.639    0.639
    Cadri12a          1.040    0.066   15.786    0.000    0.770    0.770
    Cadri17a          1.139    0.070   16.289    0.000    0.843    0.843
    Cadri24a          0.919    0.062   14.847    0.000    0.681    0.681
    Cadri28a          0.947    0.068   13.948    0.000    0.701    0.701
    Cadri32a          0.999    0.063   15.761    0.000    0.740    0.740
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.820    0.820
    Cadri25a          0.940    0.075   12.449    0.000    0.770    0.770
    Cadri30a          1.042    0.085   12.263    0.000    0.854    0.854
    Cadri34a          0.978    0.077   12.756    0.000    0.802    0.802
    Cadri29a          0.716    0.090    7.974    0.000    0.587    0.587
    Cadri31a          0.916    0.108    8.469    0.000    0.751    0.751
    Cadri33a          1.143    0.088   12.942    0.000    0.937    0.937
  V_relaci =~                                                           
    Cadri20a          1.000                               0.840    0.840
    Cadri21a          1.002    0.132    7.607    0.000    0.842    0.842
    Cadri35a          0.870    0.107    8.099    0.000    0.731    0.731
  V_sexual =~                                                           
    Cadri2a           1.000                               0.597    0.597
    Cadri19a          1.326    0.295    4.490    0.000    0.791    0.791

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.483    0.047   10.355    0.000    0.795    0.795
    V_relaci          0.455    0.068    6.690    0.000    0.731    0.731
    V_sexual          0.201    0.054    3.765    0.000    0.456    0.456
  V_fis_am ~~                                                           
    V_relaci          0.374    0.070    5.376    0.000    0.544    0.544
    V_sexual          0.305    0.062    4.923    0.000    0.623    0.623
  V_relaci ~~                                                           
    V_sexual          0.231    0.057    4.045    0.000    0.462    0.462

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri29a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fis_am          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri29a|t1       1.292    0.095   13.534    0.000    1.292    1.292
    Cadri29a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.451                               0.451    0.451
   .Cadri9a           0.592                               0.592    0.592
   .Cadri12a          0.407                               0.407    0.407
   .Cadri17a          0.289                               0.289    0.289
   .Cadri24a          0.537                               0.537    0.537
   .Cadri28a          0.508                               0.508    0.508
   .Cadri32a          0.452                               0.452    0.452
   .Cadri8a           0.328                               0.328    0.328
   .Cadri25a          0.407                               0.407    0.407
   .Cadri30a          0.270                               0.270    0.270
   .Cadri34a          0.358                               0.358    0.358
   .Cadri29a          0.656                               0.656    0.656
   .Cadri31a          0.436                               0.436    0.436
   .Cadri33a          0.122                               0.122    0.122
   .Cadri20a          0.294                               0.294    0.294
   .Cadri21a          0.291                               0.291    0.291
   .Cadri35a          0.466                               0.466    0.466
   .Cadri2a           0.644                               0.644    0.644
   .Cadri19a          0.374                               0.374    0.374
    V_verbal          0.549    0.053   10.436    0.000    1.000    1.000
    V_fis_am          0.672    0.075    8.968    0.000    1.000    1.000
    V_relaci          0.706    0.135    5.217    0.000    1.000    1.000
    V_sexual          0.356    0.106    3.361    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri29a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.8 Modelo 07

Se mantienen los cambios de los modelos 01 al 04 y 05 - Sin item 15, 13 (V Sexual) - Sin item 05 (Conducta amenzante) - No considerar al factor Resolución de conflictos como parte del modelo factorial - Sin item 04 y 23 (V. Verbal) - Sin item 03 (V. relacional) - Unir factor de conducta amenzante con violencia física - Ítem 21 pasa a violencia relacional

Se adiciona el siguiente cambio: - Quitar el ítem 29. Presenta carga compuesta

2.8.1 Estimador MLR

lavaan 0.6-6 ended normally after 105 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         42
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                342.193     198.818
  Degrees of freedom                                129         129
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.721
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1844.236     940.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.961

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.874       0.911
  Tucker-Lewis Index (TLI)                       0.850       0.895
                                                                  
  Robust Comparative Fit Index (CFI)                         0.922
  Robust Tucker-Lewis Index (TLI)                            0.908

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3309.409   -3309.409
  Scaling correction factor                                  6.740
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3138.313   -3138.313
  Scaling correction factor                                  2.954
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                6702.819    6702.819
  Bayesian (BIC)                              6861.868    6861.868
  Sample-size adjusted Bayesian (BIC)         6728.647    6728.647

Root Mean Square Error of Approximation:

  RMSEA                                          0.071       0.041
  90 Percent confidence interval - lower         0.062       0.032
  90 Percent confidence interval - upper         0.080       0.049
  P-value RMSEA <= 0.05                          0.000       0.967
                                                                  
  Robust RMSEA                                               0.053
  90 Percent confidence interval - lower                     0.038
  90 Percent confidence interval - upper                     0.068

Standardized Root Mean Square Residual:

  SRMR                                           0.057       0.057

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.542    0.702
    Cadri9a           0.755    0.102    7.380    0.000    0.409    0.532
    Cadri12a          0.898    0.100    8.997    0.000    0.486    0.691
    Cadri17a          0.752    0.085    8.844    0.000    0.408    0.714
    Cadri24a          0.629    0.098    6.432    0.000    0.341    0.593
    Cadri28a          0.911    0.102    8.972    0.000    0.493    0.625
    Cadri32a          0.872    0.091    9.538    0.000    0.473    0.681
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.260    0.697
    Cadri25a          0.752    0.230    3.275    0.001    0.195    0.547
    Cadri30a          1.230    0.283    4.350    0.000    0.319    0.748
    Cadri34a          0.880    0.222    3.959    0.000    0.228    0.627
    Cadri31a          0.334    0.206    1.623    0.105    0.087    0.393
    Cadri33a          0.651    0.163    3.983    0.000    0.169    0.631
  V_relaci =~                                                           
    Cadri20a          1.000                               0.197    0.581
    Cadri21a          1.751    0.414    4.231    0.000    0.346    0.711
    Cadri35a          1.134    0.398    2.851    0.004    0.224    0.571
  V_sexual =~                                                           
    Cadri2a           1.000                               0.175    0.387
    Cadri19a          2.943    1.828    1.610    0.108    0.514    0.663

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.087    0.031    2.766    0.006    0.618    0.618
    V_relaci          0.070    0.033    2.118    0.034    0.653    0.653
    V_sexual          0.038    0.023    1.682    0.093    0.401    0.401
  V_fis_am ~~                                                           
    V_relaci          0.015    0.008    1.728    0.084    0.283    0.283
    V_sexual          0.020    0.011    1.921    0.055    0.449    0.449
  V_relaci ~~                                                           
    V_sexual          0.009    0.008    1.160    0.246    0.270    0.270

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.303    0.037    8.098    0.000    0.303    0.508
   .Cadri9a           0.424    0.049    8.606    0.000    0.424    0.717
   .Cadri12a          0.259    0.041    6.312    0.000    0.259    0.523
   .Cadri17a          0.160    0.024    6.669    0.000    0.160    0.491
   .Cadri24a          0.215    0.024    8.875    0.000    0.215    0.649
   .Cadri28a          0.380    0.044    8.610    0.000    0.380    0.610
   .Cadri32a          0.258    0.038    6.830    0.000    0.258    0.536
   .Cadri8a           0.071    0.015    4.888    0.000    0.071    0.515
   .Cadri25a          0.089    0.020    4.494    0.000    0.089    0.701
   .Cadri30a          0.080    0.028    2.826    0.005    0.080    0.440
   .Cadri34a          0.080    0.022    3.639    0.000    0.080    0.607
   .Cadri31a          0.041    0.024    1.725    0.085    0.041    0.845
   .Cadri33a          0.043    0.016    2.711    0.007    0.043    0.602
   .Cadri20a          0.077    0.029    2.649    0.008    0.077    0.663
   .Cadri21a          0.117    0.033    3.526    0.000    0.117    0.495
   .Cadri35a          0.103    0.030    3.426    0.001    0.103    0.674
   .Cadri2a           0.173    0.044    3.945    0.000    0.173    0.850
   .Cadri19a          0.337    0.181    1.858    0.063    0.337    0.561
    V_verbal          0.293    0.060    4.915    0.000    1.000    1.000
    V_fis_am          0.067    0.032    2.098    0.036    1.000    1.000
    V_relaci          0.039    0.026    1.505    0.132    1.000    1.000
    V_sexual          0.030    0.021    1.427    0.154    1.000    1.000

2.8.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -5.186196e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 32 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         77
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               112.321     157.799
  Degrees of freedom                               129         129
  P-value (Chi-square)                           0.852       0.043
  Scaling correction factor                                  1.139
  Shift parameter                                           59.196
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6023.208    2620.833
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.379

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    1.000       0.988
  Tucker-Lewis Index (TLI)                       1.003       0.986
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.000       0.026
  90 Percent confidence interval - lower         0.000       0.005
  90 Percent confidence interval - upper         0.016       0.039
  P-value RMSEA <= 0.05                          1.000       0.999
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.082       0.082

Weighted Root Mean Square Residual:

  WRMR                                           0.738       0.738

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.745    0.745
    Cadri9a           0.849    0.071   11.962    0.000    0.632    0.632
    Cadri12a          1.040    0.065   16.093    0.000    0.775    0.775
    Cadri17a          1.128    0.069   16.414    0.000    0.840    0.840
    Cadri24a          0.917    0.061   15.010    0.000    0.683    0.683
    Cadri28a          0.936    0.067   13.895    0.000    0.697    0.697
    Cadri32a          0.995    0.062   16.074    0.000    0.741    0.741
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.829    0.829
    Cadri25a          0.935    0.073   12.808    0.000    0.775    0.775
    Cadri30a          1.046    0.082   12.726    0.000    0.867    0.867
    Cadri34a          0.980    0.075   13.032    0.000    0.813    0.813
    Cadri31a          0.952    0.113    8.420    0.000    0.790    0.790
    Cadri33a          1.130    0.086   13.147    0.000    0.937    0.937
  V_relaci =~                                                           
    Cadri20a          1.000                               0.843    0.843
    Cadri21a          1.002    0.131    7.664    0.000    0.845    0.845
    Cadri35a          0.860    0.108    7.988    0.000    0.725    0.725
  V_sexual =~                                                           
    Cadri2a           1.000                               0.593    0.593
    Cadri19a          1.344    0.296    4.545    0.000    0.797    0.797

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal ~~                                                           
    V_fis_am          0.474    0.046   10.191    0.000    0.767    0.767
    V_relaci          0.459    0.068    6.737    0.000    0.731    0.731
    V_sexual          0.200    0.053    3.790    0.000    0.454    0.454
  V_fis_am ~~                                                           
    V_relaci          0.343    0.071    4.802    0.000    0.491    0.491
    V_sexual          0.296    0.059    5.047    0.000    0.602    0.602
  V_relaci ~~                                                           
    V_sexual          0.230    0.056    4.086    0.000    0.460    0.460

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
    V_verbal          0.000                               0.000    0.000
    V_fis_am          0.000                               0.000    0.000
    V_relaci          0.000                               0.000    0.000
    V_sexual          0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.445                               0.445    0.445
   .Cadri9a           0.600                               0.600    0.600
   .Cadri12a          0.400                               0.400    0.400
   .Cadri17a          0.294                               0.294    0.294
   .Cadri24a          0.534                               0.534    0.534
   .Cadri28a          0.514                               0.514    0.514
   .Cadri32a          0.451                               0.451    0.451
   .Cadri8a           0.312                               0.312    0.312
   .Cadri25a          0.399                               0.399    0.399
   .Cadri30a          0.248                               0.248    0.248
   .Cadri34a          0.340                               0.340    0.340
   .Cadri31a          0.376                               0.376    0.376
   .Cadri33a          0.122                               0.122    0.122
   .Cadri20a          0.290                               0.290    0.290
   .Cadri21a          0.287                               0.287    0.287
   .Cadri35a          0.475                               0.475    0.475
   .Cadri2a           0.649                               0.649    0.649
   .Cadri19a          0.365                               0.365    0.365
    V_verbal          0.555    0.052   10.596    0.000    1.000    1.000
    V_fis_am          0.688    0.074    9.275    0.000    1.000    1.000
    V_relaci          0.710    0.135    5.244    0.000    1.000    1.000
    V_sexual          0.351    0.104    3.377    0.001    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.8.3 Fiabilidad del modelo WLSMV

For constructs with categorical indicators, the alpha and the average variance extracted are calculated from polychoric (polyserial) correlations, not from Pearson correlations.
        V_verbal  V_fis_am  V_relaci  V_sexual
alpha  0.8869414 0.9257101 0.8443092 0.6416203
omega  0.8206993 0.8162186 0.6694553 0.5237891
omega2 0.8206993 0.8162186 0.6694553 0.5237891
omega3 0.8260642 0.8205415 0.6686990 0.5237894
avevar 0.5373890 0.7006245 0.6496149 0.4931354

2.9 Modelo 08: Segundo orden

Este modelo de segundo orden está basado en el Modelo 04 Fork que incluye los cambios encontrados en el modelo 07 con respecto a los ítems, pero considerando al factor de conducta amenzante.

2.9.1 Estimador MLR

lavaan 0.6-6 ended normally after 105 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         41
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                403.491     249.682
  Degrees of freedom                                130         130
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.616
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1844.236     940.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.961

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.838       0.848
  Tucker-Lewis Index (TLI)                       0.810       0.821
                                                                  
  Robust Comparative Fit Index (CFI)                         0.875
  Robust Tucker-Lewis Index (TLI)                            0.853

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3340.058   -3340.058
  Scaling correction factor                                  7.195
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3138.313   -3138.313
  Scaling correction factor                                  2.954
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                6762.117    6762.117
  Bayesian (BIC)                              6917.379    6917.379
  Sample-size adjusted Bayesian (BIC)         6787.330    6787.330

Root Mean Square Error of Approximation:

  RMSEA                                          0.080       0.053
  90 Percent confidence interval - lower         0.072       0.045
  90 Percent confidence interval - upper         0.089       0.061
  P-value RMSEA <= 0.05                          0.000       0.248
                                                                  
  Robust RMSEA                                               0.068
  90 Percent confidence interval - lower                     0.055
  90 Percent confidence interval - upper                     0.080

Standardized Root Mean Square Residual:

  SRMR                                           0.077       0.077

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.541    0.701
    Cadri9a           0.753    0.103    7.295    0.000    0.408    0.530
    Cadri12a          0.919    0.105    8.734    0.000    0.498    0.707
    Cadri17a          0.744    0.088    8.469    0.000    0.403    0.706
    Cadri24a          0.616    0.096    6.399    0.000    0.334    0.580
    Cadri28a          0.914    0.109    8.419    0.000    0.495    0.627
    Cadri32a          0.874    0.093    9.364    0.000    0.473    0.682
  V_fisica =~                                                           
    Cadri8a           1.000                               0.259    0.696
    Cadri25a          0.786    0.243    3.236    0.001    0.204    0.571
    Cadri30a          1.190    0.255    4.674    0.000    0.308    0.723
    Cadri34a          0.892    0.229    3.888    0.000    0.231    0.635
  C_amenaz =~                                                           
    Cadri31a          1.000                               0.094    0.425
    Cadri33a          1.980    1.165    1.699    0.089    0.185    0.692
  V_relaci =~                                                           
    Cadri20a          1.000                               0.193    0.566
    Cadri21a          1.858    0.549    3.385    0.001    0.358    0.736
    Cadri35a          1.138    0.387    2.936    0.003    0.219    0.559
  V_sexual =~                                                           
    Cadri2a           1.000                               0.168    0.372
    Cadri19a          3.183    1.889    1.685    0.092    0.534    0.689
  Violencia =~                                                          
    V_fisica          1.000                               0.917    0.917
    V_verbal          1.621    0.607    2.669    0.008    0.711    0.711
    C_amenaz          0.356    0.220    1.621    0.105    0.904    0.904
    V_relaci          0.369    0.231    1.600    0.110    0.455    0.455
    V_sexual          0.341    0.276    1.237    0.216    0.483    0.483

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.303    0.041    7.412    0.000    0.303    0.508
   .Cadri9a           0.425    0.050    8.583    0.000    0.425    0.719
   .Cadri12a          0.248    0.041    6.086    0.000    0.248    0.500
   .Cadri17a          0.164    0.025    6.484    0.000    0.164    0.502
   .Cadri24a          0.219    0.024    9.018    0.000    0.219    0.663
   .Cadri28a          0.379    0.045    8.362    0.000    0.379    0.607
   .Cadri32a          0.258    0.037    6.943    0.000    0.258    0.535
   .Cadri8a           0.072    0.015    4.888    0.000    0.072    0.516
   .Cadri25a          0.086    0.021    4.178    0.000    0.086    0.674
   .Cadri30a          0.087    0.030    2.893    0.004    0.087    0.477
   .Cadri34a          0.079    0.023    3.506    0.000    0.079    0.597
   .Cadri31a          0.040    0.025    1.599    0.110    0.040    0.819
   .Cadri33a          0.037    0.024    1.562    0.118    0.037    0.521
   .Cadri20a          0.078    0.031    2.520    0.012    0.078    0.679
   .Cadri21a          0.108    0.039    2.802    0.005    0.108    0.459
   .Cadri35a          0.105    0.033    3.167    0.002    0.105    0.687
   .Cadri2a           0.175    0.044    3.986    0.000    0.175    0.861
   .Cadri19a          0.315    0.184    1.717    0.086    0.315    0.525
   .V_verbal          0.145    0.056    2.596    0.009    0.494    0.494
   .V_fisica          0.011    0.012    0.911    0.362    0.160    0.160
   .C_amenaz          0.002    0.004    0.369    0.712    0.184    0.184
   .V_relaci          0.029    0.020    1.444    0.149    0.793    0.793
   .V_sexual          0.022    0.014    1.509    0.131    0.767    0.767
    Violencia         0.056    0.034    1.637    0.102    1.000    1.000

2.9.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -5.666205e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 32 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         76
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               147.253     185.018
  Degrees of freedom                               130         130
  P-value (Chi-square)                           0.143       0.001
  Scaling correction factor                                  1.177
  Shift parameter                                           59.913
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6023.208    2620.833
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.379

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.997       0.978
  Tucker-Lewis Index (TLI)                       0.997       0.974
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.020       0.036
  90 Percent confidence interval - lower         0.000       0.023
  90 Percent confidence interval - upper         0.035       0.047
  P-value RMSEA <= 0.05                          1.000       0.980
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.094       0.094

Weighted Root Mean Square Residual:

  WRMR                                           0.845       0.845

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.745    0.745
    Cadri9a           0.848    0.071   11.964    0.000    0.632    0.632
    Cadri12a          1.036    0.064   16.094    0.000    0.772    0.772
    Cadri17a          1.129    0.070   16.174    0.000    0.841    0.841
    Cadri24a          0.918    0.061   14.991    0.000    0.684    0.684
    Cadri28a          0.940    0.068   13.757    0.000    0.700    0.700
    Cadri32a          0.993    0.062   15.968    0.000    0.740    0.740
  V_fisica =~                                                           
    Cadri8a           1.000                               0.839    0.839
    Cadri25a          0.934    0.074   12.618    0.000    0.784    0.784
    Cadri30a          1.052    0.085   12.332    0.000    0.882    0.882
    Cadri34a          0.982    0.076   12.949    0.000    0.823    0.823
  C_amenaz =~                                                           
    Cadri31a          1.000                               0.750    0.750
    Cadri33a          1.331    0.169    7.876    0.000    0.998    0.998
  V_relaci =~                                                           
    Cadri20a          1.000                               0.853    0.853
    Cadri21a          1.018    0.140    7.268    0.000    0.868    0.868
    Cadri35a          0.806    0.104    7.722    0.000    0.687    0.687
  V_sexual =~                                                           
    Cadri2a           1.000                               0.596    0.596
    Cadri19a          1.331    0.301    4.420    0.000    0.793    0.793
  Violencia =~                                                          
    V_fisica          1.000                               0.874    0.874
    V_verbal          0.887    0.101    8.822    0.000    0.872    0.872
    C_amenaz          0.999    0.139    7.200    0.000    0.976    0.976
    V_relaci          0.836    0.133    6.283    0.000    0.719    0.719
    V_sexual          0.483    0.104    4.637    0.000    0.594    0.594

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
   .V_verbal          0.000                               0.000    0.000
   .V_fisica          0.000                               0.000    0.000
   .C_amenaz          0.000                               0.000    0.000
   .V_relaci          0.000                               0.000    0.000
   .V_sexual          0.000                               0.000    0.000
    Violencia         0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.445                               0.445    0.445
   .Cadri9a           0.601                               0.601    0.601
   .Cadri12a          0.404                               0.404    0.404
   .Cadri17a          0.292                               0.292    0.292
   .Cadri24a          0.533                               0.533    0.533
   .Cadri28a          0.510                               0.510    0.510
   .Cadri32a          0.452                               0.452    0.452
   .Cadri8a           0.297                               0.297    0.297
   .Cadri25a          0.386                               0.386    0.386
   .Cadri30a          0.222                               0.222    0.222
   .Cadri34a          0.322                               0.322    0.322
   .Cadri31a          0.438                               0.438    0.438
   .Cadri33a          0.003                               0.003    0.003
   .Cadri20a          0.273                               0.273    0.273
   .Cadri21a          0.246                               0.246    0.246
   .Cadri35a          0.528                               0.528    0.528
   .Cadri2a           0.645                               0.645    0.645
   .Cadri19a          0.371                               0.371    0.371
   .V_verbal          0.133    0.049    2.700    0.007    0.239    0.239
   .V_fisica          0.166    0.054    3.065    0.002    0.237    0.237
   .C_amenaz          0.027    0.047    0.570    0.568    0.048    0.048
   .V_relaci          0.351    0.094    3.748    0.000    0.483    0.483
   .V_sexual          0.230    0.086    2.659    0.008    0.648    0.648
    Violencia         0.537    0.086    6.261    0.000    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.9.3 Fiabilidad del Modelo WLSMV en segundo orden

For constructs with categorical indicators, the alpha and the average variance extracted are calculated from polychoric (polyserial) correlations, not from Pearson correlations.

Higher-order factors were ignored.
        V_verbal  V_fisica  C_amenaz  V_relaci  V_sexual
alpha  0.8869414 0.9004611 0.8562722 0.8443092 0.6416203
omega  0.8207374 0.7758540 0.7471913 0.6761243 0.5205314
omega2 0.8207374 0.7758540 0.7471913 0.6761243 0.5205314
omega3 0.8262074 0.7763676 0.7471911 0.6737246 0.5205319
avevar 0.5374648 0.6934609 0.7795125 0.6507830 0.4917860
       omegaL1        omegaL2 partialOmegaL1 
     0.8709181      0.9127616      0.9509889 

2.10 Modelo 09

Este modelo de segundo orden está basado en el Modelo 07 que no considera al factor de conducta amenzante.

2.10.1 Estimador MLR

lavaan WARNING: some estimated lv variances are negative
lavaan 0.6-6 ended normally after 99 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         40
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                               Standard      Robust
  Test Statistic                                354.028     208.290
  Degrees of freedom                                131         131
  P-value (Chi-square)                            0.000       0.000
  Scaling correction factor                                   1.700
       Yuan-Bentler correction (Mplus variant)                     

Model Test Baseline Model:

  Test statistic                              1844.236     940.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.961

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.868       0.902
  Tucker-Lewis Index (TLI)                       0.846       0.885
                                                                  
  Robust Comparative Fit Index (CFI)                         0.915
  Robust Tucker-Lewis Index (TLI)                            0.901

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3315.327   -3315.327
  Scaling correction factor                                  7.061
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3138.313   -3138.313
  Scaling correction factor                                  2.954
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                6710.654    6710.654
  Bayesian (BIC)                              6862.130    6862.130
  Sample-size adjusted Bayesian (BIC)         6735.253    6735.253

Root Mean Square Error of Approximation:

  RMSEA                                          0.072       0.043
  90 Percent confidence interval - lower         0.063       0.034
  90 Percent confidence interval - upper         0.081       0.051
  P-value RMSEA <= 0.05                          0.000       0.933
                                                                  
  Robust RMSEA                                               0.055
  90 Percent confidence interval - lower                     0.041
  90 Percent confidence interval - upper                     0.069

Standardized Root Mean Square Residual:

  SRMR                                           0.061       0.061

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.542    0.702
    Cadri9a           0.758    0.103    7.375    0.000    0.411    0.534
    Cadri12a          0.896    0.101    8.899    0.000    0.485    0.690
    Cadri17a          0.752    0.085    8.859    0.000    0.407    0.713
    Cadri24a          0.627    0.098    6.425    0.000    0.340    0.591
    Cadri28a          0.911    0.102    8.921    0.000    0.494    0.625
    Cadri32a          0.872    0.092    9.506    0.000    0.473    0.681
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.261    0.702
    Cadri25a          0.740    0.233    3.176    0.001    0.194    0.542
    Cadri30a          1.213    0.271    4.472    0.000    0.317    0.744
    Cadri34a          0.866    0.219    3.954    0.000    0.226    0.621
    Cadri31a          0.329    0.202    1.624    0.104    0.086    0.390
    Cadri33a          0.658    0.160    4.107    0.000    0.172    0.642
  V_relaci =~                                                           
    Cadri20a          1.000                               0.196    0.578
    Cadri21a          1.774    0.440    4.034    0.000    0.348    0.717
    Cadri35a          1.132    0.390    2.903    0.004    0.222    0.568
  V_sexual =~                                                           
    Cadri2a           1.000                               0.178    0.394
    Cadri19a          2.838    1.670    1.699    0.089    0.505    0.651
  Violencia =~                                                          
    V_fis_am          1.000                               0.595    0.595
    V_verbal          3.621    1.569    2.307    0.021    1.039    1.039
    V_relaci          0.786    0.462    1.700    0.089    0.622    0.622
    V_sexual          0.464    0.310    1.498    0.134    0.406    0.406

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.302    0.037    8.071    0.000    0.302    0.507
   .Cadri9a           0.423    0.049    8.585    0.000    0.423    0.715
   .Cadri12a          0.260    0.041    6.328    0.000    0.260    0.524
   .Cadri17a          0.160    0.024    6.696    0.000    0.160    0.491
   .Cadri24a          0.215    0.024    8.860    0.000    0.215    0.650
   .Cadri28a          0.380    0.044    8.584    0.000    0.380    0.609
   .Cadri32a          0.258    0.038    6.805    0.000    0.258    0.536
   .Cadri8a           0.070    0.014    4.924    0.000    0.070    0.508
   .Cadri25a          0.090    0.020    4.439    0.000    0.090    0.706
   .Cadri30a          0.081    0.031    2.664    0.008    0.081    0.447
   .Cadri34a          0.081    0.022    3.624    0.000    0.081    0.614
   .Cadri31a          0.041    0.024    1.701    0.089    0.041    0.848
   .Cadri33a          0.042    0.016    2.717    0.007    0.042    0.588
   .Cadri20a          0.077    0.029    2.626    0.009    0.077    0.666
   .Cadri21a          0.115    0.033    3.436    0.001    0.115    0.486
   .Cadri35a          0.104    0.031    3.373    0.001    0.104    0.678
   .Cadri2a           0.172    0.044    3.892    0.000    0.172    0.845
   .Cadri19a          0.346    0.171    2.026    0.043    0.346    0.576
   .V_verbal         -0.023    0.089   -0.262    0.793   -0.079   -0.079
   .V_fis_am          0.044    0.021    2.096    0.036    0.646    0.646
   .V_relaci          0.024    0.016    1.521    0.128    0.613    0.613
   .V_sexual          0.026    0.018    1.488    0.137    0.835    0.835
    Violencia         0.024    0.017    1.408    0.159    1.000    1.000

2.10.2 Estimador WLSMV

lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -2.408315e-17) is smaller than zero. This may be a symptom that
    the model is not identified.
lavaan 0.6-6 ended normally after 35 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                         75
                                                      
  Number of observations                           326
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               133.336     175.084
  Degrees of freedom                               131         131
  P-value (Chi-square)                           0.427       0.006
  Scaling correction factor                                  1.164
  Shift parameter                                           60.551
       simple second-order correction (WLSMV)                     

Model Test Baseline Model:

  Test statistic                              6023.208    2620.833
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  2.379

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    1.000       0.982
  Tucker-Lewis Index (TLI)                       1.000       0.979
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.007       0.032
  90 Percent confidence interval - lower         0.000       0.018
  90 Percent confidence interval - upper         0.028       0.044
  P-value RMSEA <= 0.05                          1.000       0.995
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.087       0.087

Weighted Root Mean Square Residual:

  WRMR                                           0.805       0.805

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  V_verbal =~                                                           
    Cadri7a           1.000                               0.744    0.744
    Cadri9a           0.848    0.071   11.944    0.000    0.631    0.631
    Cadri12a          1.041    0.065   16.058    0.000    0.775    0.775
    Cadri17a          1.130    0.069   16.363    0.000    0.841    0.841
    Cadri24a          0.916    0.061   14.954    0.000    0.682    0.682
    Cadri28a          0.937    0.068   13.840    0.000    0.697    0.697
    Cadri32a          0.996    0.062   16.023    0.000    0.741    0.741
  V_fis_am =~                                                           
    Cadri8a           1.000                               0.829    0.829
    Cadri25a          0.934    0.073   12.816    0.000    0.774    0.774
    Cadri30a          1.047    0.082   12.745    0.000    0.868    0.868
    Cadri34a          0.980    0.075   13.027    0.000    0.813    0.813
    Cadri31a          0.946    0.113    8.370    0.000    0.784    0.784
    Cadri33a          1.133    0.086   13.221    0.000    0.940    0.940
  V_relaci =~                                                           
    Cadri20a          1.000                               0.848    0.848
    Cadri21a          1.009    0.136    7.432    0.000    0.856    0.856
    Cadri35a          0.833    0.106    7.870    0.000    0.707    0.707
  V_sexual =~                                                           
    Cadri2a           1.000                               0.595    0.595
    Cadri19a          1.336    0.313    4.263    0.000    0.794    0.794
  Violencia =~                                                          
    V_fis_am          1.000                               0.809    0.809
    V_verbal          1.051    0.148    7.104    0.000    0.947    0.947
    V_relaci          0.914    0.155    5.900    0.000    0.723    0.723
    V_sexual          0.524    0.123    4.273    0.000    0.592    0.592

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.000                               0.000    0.000
   .Cadri9a           0.000                               0.000    0.000
   .Cadri12a          0.000                               0.000    0.000
   .Cadri17a          0.000                               0.000    0.000
   .Cadri24a          0.000                               0.000    0.000
   .Cadri28a          0.000                               0.000    0.000
   .Cadri32a          0.000                               0.000    0.000
   .Cadri8a           0.000                               0.000    0.000
   .Cadri25a          0.000                               0.000    0.000
   .Cadri30a          0.000                               0.000    0.000
   .Cadri34a          0.000                               0.000    0.000
   .Cadri31a          0.000                               0.000    0.000
   .Cadri33a          0.000                               0.000    0.000
   .Cadri20a          0.000                               0.000    0.000
   .Cadri21a          0.000                               0.000    0.000
   .Cadri35a          0.000                               0.000    0.000
   .Cadri2a           0.000                               0.000    0.000
   .Cadri19a          0.000                               0.000    0.000
   .V_verbal          0.000                               0.000    0.000
   .V_fis_am          0.000                               0.000    0.000
   .V_relaci          0.000                               0.000    0.000
   .V_sexual          0.000                               0.000    0.000
    Violencia         0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a|t1        0.178    0.070    2.539    0.011    0.178    0.178
    Cadri7a|t2        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri7a|t3        1.717    0.123   13.919    0.000    1.717    1.717
    Cadri9a|t1        0.015    0.070    0.221    0.825    0.015    0.015
    Cadri9a|t2        1.177    0.090   13.029    0.000    1.177    1.177
    Cadri9a|t3        1.871    0.138   13.536    0.000    1.871    1.871
    Cadri12a|t1       0.549    0.074    7.465    0.000    0.549    0.549
    Cadri12a|t2       1.495    0.107   14.000    0.000    1.495    1.495
    Cadri12a|t3       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri17a|t1       0.844    0.079   10.623    0.000    0.844    0.844
    Cadri17a|t2       1.654    0.118   14.003    0.000    1.654    1.654
    Cadri17a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri24a|t1       0.445    0.072    6.162    0.000    0.445    0.445
    Cadri24a|t2       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri24a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri28a|t1       0.462    0.072    6.380    0.000    0.462    0.462
    Cadri28a|t2       1.177    0.090   13.029    0.000    1.177    1.177
    Cadri28a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri32a|t1       0.622    0.075    8.324    0.000    0.622    0.622
    Cadri32a|t2       1.569    0.112   14.040    0.000    1.569    1.569
    Cadri32a|t3       1.828    0.134   13.667    0.000    1.828    1.828
    Cadri8a|t1        1.347    0.098   13.713    0.000    1.347    1.347
    Cadri8a|t2        2.161    0.177   12.220    0.000    2.161    2.161
    Cadri8a|t3        2.740    0.329    8.326    0.000    2.740    2.740
    Cadri25a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri25a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri30a|t1       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri30a|t2       2.024    0.157   12.925    0.000    2.024    2.024
    Cadri30a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri34a|t1       1.328    0.097   13.656    0.000    1.328    1.328
    Cadri34a|t2       2.249    0.192   11.707    0.000    2.249    2.249
    Cadri34a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri31a|t1       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri31a|t2       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri31a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri33a|t1       1.871    0.138   13.536    0.000    1.871    1.871
    Cadri33a|t2       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri33a|t3       2.740    0.329    8.326    0.000    2.740    2.740
    Cadri20a|t1       1.717    0.123   13.919    0.000    1.717    1.717
    Cadri20a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri20a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri21a|t1       1.089    0.087   12.530    0.000    1.089    1.089
    Cadri21a|t2       1.917    0.143   13.374    0.000    1.917    1.917
    Cadri21a|t3       2.357    0.214   11.014    0.000    2.357    2.357
    Cadri35a|t1       1.347    0.098   13.713    0.000    1.347    1.347
    Cadri35a|t2       2.161    0.177   12.220    0.000    2.161    2.161
    Cadri35a|t3       2.504    0.250   10.011    0.000    2.504    2.504
    Cadri2a|t1        1.386    0.100   13.817    0.000    1.386    1.386
    Cadri2a|t2        1.968    0.149   13.174    0.000    1.968    1.968
    Cadri2a|t3        2.249    0.192   11.707    0.000    2.249    2.249
    Cadri19a|t1       0.558    0.074    7.573    0.000    0.558    0.558
    Cadri19a|t2       1.257    0.094   13.400    0.000    1.257    1.257
    Cadri19a|t3       1.789    0.130   13.772    0.000    1.789    1.789

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Cadri7a           0.446                               0.446    0.446
   .Cadri9a           0.601                               0.601    0.601
   .Cadri12a          0.400                               0.400    0.400
   .Cadri17a          0.292                               0.292    0.292
   .Cadri24a          0.535                               0.535    0.535
   .Cadri28a          0.514                               0.514    0.514
   .Cadri32a          0.451                               0.451    0.451
   .Cadri8a           0.312                               0.312    0.312
   .Cadri25a          0.400                               0.400    0.400
   .Cadri30a          0.246                               0.246    0.246
   .Cadri34a          0.340                               0.340    0.340
   .Cadri31a          0.385                               0.385    0.385
   .Cadri33a          0.117                               0.117    0.117
   .Cadri20a          0.281                               0.281    0.281
   .Cadri21a          0.268                               0.268    0.268
   .Cadri35a          0.501                               0.501    0.501
   .Cadri2a           0.647                               0.647    0.647
   .Cadri19a          0.369                               0.369    0.369
   .V_verbal          0.057    0.065    0.882    0.378    0.103    0.103
   .V_fis_am          0.238    0.063    3.751    0.000    0.346    0.346
   .V_relaci          0.343    0.093    3.701    0.000    0.477    0.477
   .V_sexual          0.230    0.087    2.642    0.008    0.650    0.650
    Violencia         0.450    0.084    5.386    0.000    1.000    1.000

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Cadri7a           1.000                               1.000    1.000
    Cadri9a           1.000                               1.000    1.000
    Cadri12a          1.000                               1.000    1.000
    Cadri17a          1.000                               1.000    1.000
    Cadri24a          1.000                               1.000    1.000
    Cadri28a          1.000                               1.000    1.000
    Cadri32a          1.000                               1.000    1.000
    Cadri8a           1.000                               1.000    1.000
    Cadri25a          1.000                               1.000    1.000
    Cadri30a          1.000                               1.000    1.000
    Cadri34a          1.000                               1.000    1.000
    Cadri31a          1.000                               1.000    1.000
    Cadri33a          1.000                               1.000    1.000
    Cadri20a          1.000                               1.000    1.000
    Cadri21a          1.000                               1.000    1.000
    Cadri35a          1.000                               1.000    1.000
    Cadri2a           1.000                               1.000    1.000
    Cadri19a          1.000                               1.000    1.000

2.10.3 Fiabilidad del Modelo WLSMV de segundo orden

For constructs with categorical indicators, the alpha and the average variance extracted are calculated from polychoric (polyserial) correlations, not from Pearson correlations.

Higher-order factors were ignored.
        V_verbal  V_fis_am  V_relaci  V_sexual
alpha  0.8869414 0.9257101 0.8443092 0.6416203
omega  0.8206861 0.8163989 0.6724028 0.5218421
omega2 0.8206861 0.8163989 0.6724028 0.5218421
omega3 0.8259776 0.8204771 0.6709403 0.5218420
avevar 0.5374292 0.7000276 0.6501830 0.4923251
       omegaL1        omegaL2 partialOmegaL1 
     0.8537566      0.8632906      0.9486812 

2.11 Comparación de los modelos factoriales

Mediante el uso de una función personalizada, se realiza la comparación de los índices de ajustes de todos los modelos, tanto por MLR como por WLSMV.

2.11.1 Comparación de modelos MLR

2.11.2 Comparación de modelos WLSMV

---
title: "Análisis AFC del CADRI"
author: "Brian N. Peña Calero"
date: "20/5/2020"
output: 
  html_notebook: 
    highlight: zenburn
    number_sections: yes
    theme: sandstone 
    toc: yes
---

```{r include=FALSE}
options(tidyverse.quiet = TRUE)
```


Se cargan las librerías a utilizar para el presente análisis

```{r}
library(tidyverse)
library(lavaan)
```

# Importación de datos y tratamiento de datos

```{r}
data1 <- haven::read_sav("1. BD/BD_1ER ENVIO.sav")
data2 <- haven::read_sav("1. BD/BD_Colegio Jose Granda.sav")
```


## Guardar las etiquetas
Se guardan las etiquetas asociadas a los datos provenientes de la codificación en el SPSS
```{r}
library(labelled)

labels_cadri <- data1 %>% 
  var_label(unlist = TRUE) %>% 
  enframe() %>% 
  mutate(
    value = str_remove(value, "DURANTE LAS DISCUSIONES EN LOS ÚLTIMOS 12 MESES ")
  )
```

```{r echo = FALSE}
labels_cadri %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(fixedColumns = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```


## Unificar data

Se juntan las 2 base de datos. Además se elimina data missing y se transforma los ítems a variables númericas (para fines de análisis).

```{r}
data1 <- data1 %>% 
  select(Cedula, Sexo:Cadri35b) %>% 
  mutate(Colegio = "Colegio Independencia") 

data2 <- data2 %>% 
  select(Cedula, Colegio:Cadri35b)

cadri_data <- rbind(data1, data2)

cadri_data <- cadri_data %>% 
  drop_na(Cadri1a:Cadri35b)

cadri_data <- cadri_data %>% 
  mutate(across(Cadri1a:Cadri35b, as.numeric))
```

```{r echo = FALSE}
cadri_data %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(scrollY = 550,
                   scrollX = 500,
                   fixedColumns = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```

## Descriptivos

Estadísticos descriptivos para la parte "a" de los ítems (perpetrador)
```{r}
descriptivos_a <- cadri_data %>% 
  select(ends_with("a") & starts_with("Cadri")) %>% 
  psych::describe() %>% 
  mutate_if(is.numeric, round, 3)
```

```{r echo=FALSE}
descriptivos_a %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(scrollY = 360,
                   scrollX = 500,
                   autoWidth = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```

Estadísticos descriptivos para la parte "b" de los ítems (violencia sufrida)
```{r}
descriptivos_b <- cadri_data %>% 
  select(ends_with("b") & starts_with("Cadri")) %>% 
  psych::describe() %>% 
  mutate_if(is.numeric, round, 3)
```

```{r echo=FALSE}
descriptivos_b %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(scrollY = 360,
                   scrollX = 500,
                   autoWidth = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```

### Gráficos

Visualización de los descriptivos a y b

```{r fig.height = 7.5, fig.width = 12, dpi = 300, fig.align = "center"}
cadri_data %>% 
  select(ends_with("a") & starts_with("Cadri")) %>% 
  pivot_longer(
    cols = everything(),
    names_to = "Items",
    values_to = "Puntaje"
  ) %>% 
  mutate(
    Items = as_factor(Items),
    Puntaje = factor(Puntaje, 
                     levels = c(4, 3, 2, 1),
                     labels = c("6 o más veces",
                                "3 a 5 veces",
                                "1 a 2 veces",
                                "Nunca"))
    ) %>% 
  count(Items, Puntaje) %>% 
  ggplot(aes(x = Puntaje, y = n)) +
  geom_col() +
  coord_flip() +
  facet_wrap(~ Items) +
  labs(title = "Descriptivo de los ítems del CADRI - Violencia Cometida",
       y = "",
       x = "Participantes") +
  theme_bw()
```



```{r fig.height = 7.5, fig.width = 12, dpi = 300, fig.align = "center"}
cadri_data %>% 
  select(ends_with("b") & starts_with("Cadri")) %>% 
  pivot_longer(
    cols = everything(),
    names_to = "Items",
    values_to = "Puntaje"
  ) %>% 
  mutate(
    Items = as_factor(Items),
    Puntaje = factor(Puntaje, 
                     levels = c(4, 3, 2, 1),
                     labels = c("6 o más veces",
                                "3 a 5 veces",
                                "1 a 2 veces",
                                "Nunca"))
    ) %>% 
  count(Items, Puntaje) %>% 
  ggplot(aes(x = Puntaje, y = n)) +
  geom_col() +
  coord_flip() +
  facet_wrap(~ Items) +
  labs(title = "Descriptivo de los ítems del CADRI - Violencia Recibida",
       y = "",
       x = "Participantes") +
  theme_bw()
```


# Análisis Factoriales Confirmatorios

La escala CADRI tiene 5 factores y se corresponden con los items de la siguiente manera:

- Violencia verbal: 4,7,9,12,17,21,23,24,28 y 32 = 10 items
- Violencia física: 8, 25, 30 y 34 = 4 items
- Conducta amenazante: 5, 29, 31 y 33 =4 items
- Violencia relacional: 3, 20, 35 = 3 items
- Violencia sexual: 2, 13, 15 y 19 = 4 items
- Items sobre solución de conflcitos: 1, 6, 10, 11, 14, 16, 18, 22, 26 y 27 =10 items

***Nota***: Todos los modelos tienen 2 análisis `fit_a` y `fit_b` que se diferencian únicamente por el estimador utilizado para su evaluación. El `fit_a` utiliza el estimador `MLR` que es ideal para data contínua y problemas de normalidad, mientras que el `fit_b` utiliza el estimador `WLSMV`que es el mejor estimador en consideración de la ordinalidad de los datos.

## Modelo 01
 El primer modelo probará todos los ítems tal cual se encuentran descritos en el instrumento original.

```{r}
model01 <- "# Modelo de medición
            V_verbal =~ Cadri4a + Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri21a + Cadri23a +
                        Cadri24a + Cadri28a + Cadri32a
            V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
            C_amenaz =~ Cadri5a + Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri3a + Cadri20a + Cadri35a
            V_sexual =~ Cadri2a + Cadri13a + Cadri15a + Cadri19a
            R_confli =~ Cadri1a + Cadri6a + Cadri10a + Cadri11a + Cadri14a + Cadri16a + Cadri18a +
                        Cadri22a + Cadri26a + Cadri27a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}

fit01_a <- cfa(model = model01,
               data = cadri_data,
               estimator = "MLR")

summary(fit01_a, fit.measures = TRUE, standardized = TRUE)
```


### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}

fit01_b <- cfa(model = model01,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit01_b, fit.measures = TRUE, standardized = TRUE)
```

### Índices de Modificación (`fit_b`)

```{r}
modindices(fit01_b, sort. = TRUE, maximum.number = 20)
```

### Gráfico

```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
## Graficar
semPlot::semPaths(fit01_b, whatLabels = "std", label.cex= 1.2,
                  edge.label.cex = 0.5, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 6, sizeLat2 = 4,
                  sizeMan = 6, sizeMan2 = 1.5, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 12, 2, 12), residScale = 10, 
                  manifests = rev(fit01_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 01")
```


## Modelo 02

A partir del análisis descriptivo y la observación del modelo 01, se hacen los siguientes cambios:

- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)

```{r}
model02 <- "# Modelo de medición
            V_verbal =~ Cadri4a + Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri21a + Cadri23a +
                        Cadri24a + Cadri28a + Cadri32a
            V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
            C_amenaz =~ Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri3a + Cadri20a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a
            R_confli =~ Cadri1a + Cadri6a + Cadri10a + Cadri11a + Cadri14a + Cadri16a + Cadri18a +
                        Cadri22a + Cadri26a + Cadri27a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit02_a <- cfa(model = model02,
               data = cadri_data,
               estimator = "MLR")

summary(fit02_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit02_a, sort. = TRUE, maximum.number = 20)
```


### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit02_b <- cfa(model = model02,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit02_b, fit.measures = TRUE, standardized = TRUE)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
## Graficar
semPlot::semPaths(fit02_b, whatLabels = "std", label.cex= 1.2,
                  edge.label.cex = 0.5, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 6, sizeLat2 = 4,
                  sizeMan = 6, sizeMan2 = 1.5, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 12, 2, 12), residScale = 10, 
                  manifests = rev(fit02_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 02")
```


## Modelo 03

Se mantienen los cambios del Modelo 02:
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)

Se adiciona el siguiente cambio:
- No considerar al factor Resolución de conflictos como parte del modelo factorial

```{r}
model03 <- "# Modelo de medición
            V_verbal =~ Cadri4a + Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri21a + Cadri23a +
                        Cadri24a + Cadri28a + Cadri32a
            V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
            C_amenaz =~ Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri3a + Cadri20a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit03_a <- cfa(model = model03,
               data = cadri_data,
               estimator = "MLR")

summary(fit03_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit03_a, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit03_b <- cfa(model = model03,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit03_b, fit.measures = TRUE, standardized = TRUE)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
## Graficar
semPlot::semPaths(fit03_b, whatLabels = "std", label.cex= 1.2,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 7, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.5, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 2, 15), residScale = 10, 
                  manifests = rev(fit03_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 03")
```

### Notas de análisis
**Análisis del modelo 02 y 03**

- Cargas factoriales menores a 0.45:
  - Violencia verbal
    - Item 04
    - Item 23
  - Conducta amenzante
    - Item 05
    - Item 29
    - Item 33

- Violencia relacional
  - Item 03 (aparece un sinsentido en los índices de modificación)

- Conducta amenzante (Correlación mayor a 1): Violencia verbal, física y amenzante

- Análisis de Índices de modificación:
  - Resolución de conflictos:	Correlación: Item 16 y 26
  - Correlación interfactores: Item 8 (violencia física) y 33 (Conducta amenazante de violencia física)
  - Item 23 no guarda relación con constructo. además está observada por baja carga factorial.


## Modelo 04

Se mantienen los cambios del Modelo 02 y 03:
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)
- No considerar al factor Resolución de conflictos como parte del modelo factorial

Se adiciona el siguiente cambio:
- Sin item 04 y 23 (V. Verbal)
- Sin item 03 (V. relacional)

```{r}
model04 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri21a + 
                        Cadri24a + Cadri28a + Cadri32a
            V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
            C_amenaz =~ Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit04_a <- cfa(model = model04,
               data = cadri_data,
               estimator = "MLR")

summary(fit04_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit04_a, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit04_b <- cfa(model = model04,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit04_b, fit.measures = TRUE, standardized = TRUE)

modindices(fit04_b, sort. = TRUE, maximum.number = 20)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit04_b, whatLabels = "std", label.cex= 1.3,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 7, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.8, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 2, 15), residScale = 10, 
                  manifests = rev(fit04_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 04")
```



## Modelo 04 Fork

Se mantienen los cambios de los modelos anteriores
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)
- No considerar al factor Resolución de conflictos como parte del modelo factorial
- Sin item 04 y 23 (V. Verbal)
- Sin item 03 (V. relacional)

Se incorpora los cambios que se encontrarán en el modelo 07 posteriormente:
- Teórica y empíricamente el ítem 21 afecta directamente a las relaciones de la persona
- Quitar el ítem 29. Presenta carga compuesta

```{r}
model04_fork <- "# Modelo de medición
                 V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a +  
                             Cadri24a + Cadri28a + Cadri32a
                 V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
                 C_amenaz =~ Cadri31a + Cadri33a
                 V_relaci =~ Cadri20a + Cadri21a + Cadri35a
                 V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit04_a_fork <- cfa(model = model04_fork,
                    data = cadri_data,
                    estimator = "MLR")

summary(fit04_a_fork, fit.measures = TRUE, standardized = TRUE)

modindices(fit04_a_fork, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit04_b_fork <- cfa(model = model04_fork,
                    data = cadri_data,
                    ordered = TRUE,
                    estimator = "WLSMV",
                    mimic = "Mplus")

summary(fit04_b_fork, fit.measures = TRUE, standardized = TRUE)

modindices(fit04_b_fork, sort. = TRUE, maximum.number = 20)
```

### Fiabilidad del modelo categórico
```{r}
semTools::reliability(fit04_b_fork)
```


### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit04_b_fork, whatLabels = "std", label.cex= 1.3,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 7, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.8, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 2, 15), residScale = 10, 
                  manifests = rev(fit04_b_fork@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 04 con ajustes del modelo 07")

```


## Modelo 05

Se mantienen los cambios de los modelos 01 al 04
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)
- No considerar al factor Resolución de conflictos como parte del modelo factorial
- Sin item 04 y 23 (V. Verbal)
- Sin item 03 (V. relacional)

Se adiciona el siguiente cambio:
- Unir factor de conducta amenzante con violencia física debido a que el contenido de los ítems hacen alusión a la intención de hacer un daño físico. Esto es mejor a generar errores correlacionados entre ítems que pertenecen a diferentes dimensiones.

```{r}
model05 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri21a + 
                        Cadri24a + Cadri28a + Cadri32a
            V_fis_am =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a + Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit05_a <- cfa(model = model05,
               data = cadri_data,
               estimator = "MLR")

summary(fit05_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit05_a, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit05_b <- cfa(model = model05,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit05_b, fit.measures = TRUE, standardized = TRUE)

modindices(fit05_b, sort. = TRUE, maximum.number = 20)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit05_b, whatLabels = "std", label.cex= 1.3,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 7, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.8, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 2, 15), residScale = 10, 
                  manifests = rev(fit05_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 05. Conducta amenzante y física juntos")
```



## Modelo 06

Se mantienen los cambios de los modelos 01 al 04 y 05
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)
- No considerar al factor Resolución de conflictos como parte del modelo factorial
- Sin item 04 y 23 (V. Verbal)
- Sin item 03 (V. relacional)
- Unir factor de conducta amenzante con violencia física 

Se adiciona el siguiente cambio:
- Ítem 21 pasa a violencia relacional: Su contenido hace referencia directamente a las relaciones de las personas

*Nota*: Alerta con el ítem 29. Puede tener sesgo por deseabilidad social (el modelo 07 será sin este ítem)

```{r}
model06 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri24a + Cadri28a + Cadri32a
            V_fis_am =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a + Cadri29a + Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri21a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit06_a <- cfa(model = model06,
               data = cadri_data,
               estimator = "MLR")

summary(fit06_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit06_a, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit06_b <- cfa(model = model06,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit06_b, fit.measures = TRUE, standardized = TRUE)

modindices(fit06_b, sort. = TRUE, maximum.number = 20)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit06_b, whatLabels = "std", label.cex= 1.3,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 7, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.8, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 1, 15), residScale = 10, 
                  manifests = rev(fit06_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 06 basado en modelo 05")
```



## Modelo 07

Se mantienen los cambios de los modelos 01 al 04 y 05
- Sin item 15, 13  (V Sexual)
- Sin item 05 (Conducta amenzante)
- No considerar al factor Resolución de conflictos como parte del modelo factorial
- Sin item 04 y 23 (V. Verbal)
- Sin item 03 (V. relacional)
- Unir factor de conducta amenzante con violencia física 
- Ítem 21 pasa a violencia relacional

Se adiciona el siguiente cambio:
- Quitar el ítem 29. Presenta carga compuesta

```{r}
model07 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri24a + Cadri28a + Cadri32a
            V_fis_am =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a + Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri21a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit07_a <- cfa(model = model07,
               data = cadri_data,
               estimator = "MLR")

summary(fit07_a, fit.measures = TRUE, standardized = TRUE)

modindices(fit07_a, sort. = TRUE, maximum.number = 20)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit07_b <- cfa(model = model07,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit07_b, fit.measures = TRUE, standardized = TRUE)

modindices(fit07_b, sort. = TRUE, maximum.number = 20)
```

### Fiabilidad del modelo WLSMV

```{r}
semTools::reliability(fit07_b)
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit07_b, whatLabels = "std", label.cex= 1.3,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 8, sizeLat2 = 4,
                  sizeMan = 7, sizeMan2 = 2.8, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 15, 1, 15), residScale = 10, 
                  manifests = rev(fit07_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 07 basado en modelo 05")
```


## Modelo 08: Segundo orden

Este modelo de segundo orden está basado en el `Modelo 04 Fork` que incluye los cambios encontrados en el modelo 07 con respecto a los ítems, pero considerando al factor de conducta amenzante.

```{r}
model08 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a +  
                        Cadri24a + Cadri28a + Cadri32a
            V_fisica =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a
            C_amenaz =~ Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri21a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a
            # Segundo orden
            Violencia =~ V_fisica + V_verbal + C_amenaz + V_relaci + V_sexual"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit08_a <- cfa(model = model08,
               data = cadri_data,
               estimator = "MLR")

summary(fit08_a, fit.measures = TRUE, standardized = TRUE)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit08_b <- cfa(model = model08,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit08_b, fit.measures = TRUE, standardized = TRUE)

modindices(fit08_b, sort. = TRUE, maximum.number = 20)
```

### Fiabilidad del Modelo WLSMV en segundo orden

```{r}
semTools::reliability(fit08_b)
semTools::reliabilityL2(fit08_b, "Violencia")
```

### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit08_b, whatLabels = "std", label.cex= 1.2,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 8, sizeLat2 = 3,
                  sizeMan = 8, sizeMan2 = 3, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 6, 1, 6), residScale = 10, 
                  manifests = rev(fit08_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 08 Segundo orden basado en modelo 04 fork")
```

## Modelo 09

Este modelo de segundo orden está basado en el `Modelo 07` que no considera al factor de conducta amenzante.

```{r}
model09 <- "# Modelo de medición
            V_verbal =~ Cadri7a + Cadri9a + Cadri12a + Cadri17a + Cadri24a + Cadri28a + Cadri32a
            V_fis_am =~ Cadri8a + Cadri25a + Cadri30a + Cadri34a + Cadri31a + Cadri33a
            V_relaci =~ Cadri20a + Cadri21a + Cadri35a
            V_sexual =~ Cadri2a + Cadri19a
            # Segundo orden
            Violencia =~ V_fis_am + V_verbal + V_relaci + V_sexual"
```

### Estimador MLR
```{r, attr.output='style="max-height: 500px;"'}
fit09_a <- cfa(model = model09,
               data = cadri_data,
               estimator = "MLR")

summary(fit09_a, fit.measures = TRUE, standardized = TRUE)
```

### Estimador WLSMV
```{r, attr.output='style="max-height: 500px;"'}
fit09_b <- cfa(model = model09,
               data = cadri_data,
               ordered = TRUE,
               estimator = "WLSMV",
               mimic = "Mplus")

summary(fit09_b, fit.measures = TRUE, standardized = TRUE)
```

### Fiabilidad del Modelo WLSMV de segundo orden

```{r}
semTools::reliability(fit09_b)
semTools::reliabilityL2(fit09_b, "Violencia")
```


### Gráfico
```{r fig.height = 12, fig.width = 15, dpi = 300, fig.align = "center"}
semPlot::semPaths(fit09_b, whatLabels = "std", label.cex= 1.2,
                  edge.label.cex = 0.8, nCharEdges = 3,
                  nCharNodes = 8, sizeLat = 8, sizeLat2 = 3,
                  sizeMan = 8, sizeMan2 = 3, rotation = 2, intercepts = F,
                  thresholds = F, groups = "latents", pastel = TRUE,
                  exoVar = FALSE, edge.color = "black",
                  curvature = 2, mar = c(1, 6, 1, 6), residScale = 10, 
                  manifests = rev(fit09_b@Data@ordered))

title("Modelo Factorial del CADRI \n Modelo 09 Segundo orden basado en modelo 07")
```


## Comparación de los modelos factoriales

Mediante el uso de una función personalizada, se realiza la comparación de los índices de ajustes de todos los modelos, tanto por `MLR` como por `WLSMV`.

```{r}
source("Function glance lavaan fix.R")
```

### Comparación de modelos `MLR`

```{r}
compare_fit_mlr <- bind_rows(
  glance.lavaan.fix(fit01_a),
  glance.lavaan.fix(fit02_a),
  glance.lavaan.fix(fit03_a),
  glance.lavaan.fix(fit04_a),
  glance.lavaan.fix(fit04_a_fork),
  glance.lavaan.fix(fit05_a),
  glance.lavaan.fix(fit06_a),
  glance.lavaan.fix(fit07_a),
  glance.lavaan.fix(fit08_a),
  glance.lavaan.fix(fit09_a),
  .id = "Modelo"
) %>% 
  mutate(Modelo = fct_recode(Modelo,
                             "Modelo 01" = "1",
                             "Modelo 02" = "2",
                             "Modelo 03" = "3",
                             "Modelo 04" = "4",
                             "Modelo 04 fork" = "5",
                             "Modelo 05" = "6",
                             "Modelo 06" = "7",
                             "Modelo 07" = "8",
                             "Modelo 08" = "9",
                             "Modelo 09" = "10")) %>% 
  mutate_if(is.numeric, round, 3)
```

```{r echo=FALSE}
compare_fit_mlr %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(scrollY = 380,
                   scrollX = 500,
                   autoWidth = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```

### Comparación de modelos `WLSMV`

```{r}
compare_fit_wlsmv <- bind_rows(
  glance.lavaan.fix(fit01_b),
  glance.lavaan.fix(fit02_b),
  glance.lavaan.fix(fit03_b),
  glance.lavaan.fix(fit04_b),
  glance.lavaan.fix(fit04_b_fork),
  glance.lavaan.fix(fit05_b),
  glance.lavaan.fix(fit06_b),
  glance.lavaan.fix(fit07_b),
  glance.lavaan.fix(fit08_b),
  glance.lavaan.fix(fit09_b),
  .id = "Modelo"
) %>% 
  mutate(Modelo = fct_recode(Modelo,
                             "Modelo 01" = "1",
                             "Modelo 02" = "2",
                             "Modelo 03" = "3",
                             "Modelo 04" = "4",
                             "Modelo 04 fork" = "5",
                             "Modelo 05" = "6",
                             "Modelo 06" = "7",
                             "Modelo 07" = "8",
                             "Modelo 08" = "9",
                             "Modelo 09" = "10")) %>% 
  mutate_if(is.numeric, round, 3)
```

```{r echo=FALSE}
compare_fit_wlsmv %>%  
  DT::datatable(
    rownames = FALSE,
    filter = "top",
    style = "bootstrap4",
    class = 'cell-border stripe',
    extensions = 'Buttons', 
    options = list(scrollY = 380,
                   scrollX = 500,
                   autoWidth = TRUE,
                   dom = 'Bfrtip', 
                   buttons = c('copy', 'csv', 'excel', 'pdf', 'print')))
```

